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Location: Riyadh, Saudi Arabia We are Seeking a Business Administration Officer to join our team, the Business Administration Officer will provide comprehensive administrative and operational support to the Riyadh Office. The role will ensure the efficient day-to-day operation of the office while supporting administrative, financial, operational, and stakeholder coordination activities. Key Responsibilities Business & Administrative Support Provide end-to-end administrative support, including correspondence, document preparation, filing, and records management. Draft and format formal letters, memos, and reports in both Arabic and English. Coordinate calendars, meetings, logistics, and follow-up actions. Maintain document control systems and ensure confidentiality of sensitive information. Office Operations & Logistics Support daily office operations, facilities coordination, and office supplies management. Coordinate with vendors and service providers. Assist with procurement processes, requisitions, and follow-ups. Support reception and front-of-house activities when required. Financial & Reporting Support Track operational expenses and maintain basic budget records. Assist with invoice reconciliation, expense claims, and purchase orders. Prepare administrative and operational reports. Maintain operational trackers, action logs, and reporting templates. Meetings, Events & Visits Coordinate meetings, events, and official visits. Prepare agendas, meeting materials, minutes, and follow-up actions. Support visitor coordination and protocol requirements. Cross-Functional Coordination Coordinate with HR, Finance, IT, and Procurement teams. Support onboarding, systems access, and operational requests. Act as a first point of contact for routine administrative queries. Requirements Bachelor’s degree in Business Administration, Management, or a related field. Minimum 3+ years of experience in business administration, office administration, or a similar role in KSA. Strong administrative and organizational skills with excellent attention to detail. Ability to manage multiple tasks and priorities effectively. Strong written and verbal communication skills in Arabic and English . Excellent interpersonal and stakeholder coordination skills. Proactive, professional, and service-oriented mindset. High level of discretion and integrity when handling confidential information.

Location: Remote Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. Our most active users deserve a relationship with Phantom, not a ticket queue. We are launching an invite only VIP program in app messaging with a real person, enhanced support, and exclusive experiences. You will be its first dedicated hire. As a VIP Account Manager, you are the first point of contact for VIP members inside the app. You will own these relationships end to end: welcoming new members, resolving issues personally, pulling in support and engineering when a case needs them, and staying with it until it is closed. You will help shape the playbook for the team we build around you as the program scales toward round the clock coverage. You will work closely with the VIP program lead, support, marketing, product, and design. RESPONSIBILITIES - Be the personal, named contact for VIP members in our in-app messaging hub - Own member relationships end to end: onboarding and welcome, proactive check-ins, and follow through on every issue until it is resolved. - Handle high stakes situations such as compromised wallets, missing funds, and large transactions with urgency, precision, and discretion. - Triage and escalate: bring in support agents, engineering, or leadership when a case warrants it, and own the communication back to the member. - Meet members where they are: in-app chat first, plus email, X, Telegram, and Discord. - Coordinate the moments beyond support: welcome gifts, event experiences, and early access to new features. - Turn conversations into leverage: channel member feedback to product, build playbooks, and help define the response time and satisfaction standards for the VIP team. - Help design and scale the program from a small founding cohort to thousands of members, and eventually 24/7 coverage. QUALIFICATIONS - 4+ years in premium or VIP support, account management, or customer success, ideally at a sports betting platform, crypto exchange, wallet, brokerage, or fintech app. - Deep crypto fluency: you understand self custody and can navigate multiple chains, reading a block explorer, tracing a transaction, and telling an L2 gas issue apart from a bug. - Exceptional written communication: warm, concise, and human, even under pressure. - Absolute discretion: for high value users, privacy and trust are the product. - Security first instincts: you know the social engineering patterns targeting crypto users, and you would never ask anyone for a seed phrase. - Comfort with ambiguity and ownership: you are the first hire in a new function and will build much of the process yourself. - Time zone flexibility: our members are global and markets do not close, so some evening and weekend availability is part of the job. - Nice to have: experience serving high net worth clients at an exchange or brokerage. - Nice to have: hands on experience with Zendesk and AI support tooling. - Nice to have: fluency in more than one language, or an active Phantom user with real on chain history.   Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

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, 25M+ 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 This role owns how Higgsfield measures its product - from the first sign-up to whether people come back. You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing. You make sure: - Every product decision has a number attached to it before it ships and after it ships - Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work” - The events the product emits can be trusted; you own the definition, not just the query - A PM gets an answer in hours, not next sprint You are the person who decides what “it worked” means. WHAT YOU WILL DO Product measurement - Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment. - Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack. - Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it. - Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it. Experimentation - Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics. - Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity. - Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud. Product & monetization analysis - In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups. - Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model. - Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.” - Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters. Making it usable - Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive. - Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts. - Automate recurring reporting so your hours go to new questions, not refreshes. - Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax. WHO WE'RE LOOKING FOR We're looking for an analyst with opinions. You should have: - Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help. - Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily. - Real experimentation experience: you have designed tests, run them, and killed features with the results. - Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win. - Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits. - The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact. - Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change. - Clear written and spoken English, B2+. Backgrounds that often do well: - Product analysts from consumer subscription or PLG products - Growth/BI analysts who moved into product and stayed - Early-startup analysts who built product measurement from zero - Data scientists who got tired of models and want decisions WHAT THIS ROLE IS NOT This role is not a fit if you: - Wait for a ticket to tell you what to analyze - Want to build models more than you want to change decisions - Need a data engineering team and clean tables to exist before you can start - Would report a lift you don't believe in because a stakeholder wants it - Need perfect data before you can say anything useful - 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) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

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, 25M+ 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 Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing. This role makes the company act per user, and know what that action was worth. You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number. You make sure: - Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else - We know who is about to churn early enough to do something about it — and we know whether the something worked - Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three - Every model and every campaign has a holdout behind it, so we can always state what it is worth in money WHAT YOU WILL DO Churn, retention & lifecycle propensity - Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it. - Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing. - Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system. - Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list. Uplift modelling & offer targeting - Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves. - Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes. - Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off. - Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup. - Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it. Lifetime value & payer economics - Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount. - Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes. - Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling. - Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it. Experimentation & causal measurement - Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it. - Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying. - Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud. - Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck. How we ship - Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining. - Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit. - Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score. - Write down what each model is worth, in money, and keep that number current. WHO WE'RE LOOKING FOR - Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this. - Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale. - Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift. - Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot. - Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer. - Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model. - Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule. - Clear written and spoken English, B2+. Backgrounds that often do well: - Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached - CRM and lifecycle data scientists who owned campaign targetingandits incrementality - Causal inference and uplift specialists who ship policies rather than papers - Strong product analysts who moved into modelling and kept the decision instinct WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open - Want to own a recommender or a serving stack — ranking is not in this role's scope today - Would target an offer at the users most likely to buy and call it personalization - Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't - Optimize AUC and hand the score to someone else to work out what to do with it - Need clean labelled data, a feature store and an experimentation platform to exist before you can start - Want predictable 9–5 workdays HIRING PROCESS We move fast: - Screening call (30 min) - Technical interview & case study (1 hour) - Practical home task (7 days) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: London, United Kingdom Workplace: none About InvestEngine We’re a ~200-person, AI-first fintech. We move fast, we expect people to own things end to end, and we don’t have a lot of specialist support infrastructure to hide behind — if you spot a gap, you’re expected to close it, not escalate it and wait. About the role We’re hiring our first dedicated Analytics Engineer at InvestEngine. This is a foundational hire: you’ll sit at the intersection of data engineering, analytics engineering, and business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on. You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster, and how we structure our data so that AI tooling can be trusted to answer questions about it. We’re actively modernising our data stack, and we want the person in this role to shape it. Some of it is in place, some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them. Who thrives here We’ve pitched this at mid to senior level , but the honest position is that the level matters less than the appetite. The ultimate test is hunger, and the desire to shape this space and have real impact . If you’re technically strong but hungrier than your years of experience suggest, apply anyway — we’d rather have someone who wants to own this than someone who has simply done it before somewhere bigger. Beyond that, this role suits someone who: Operates well with ambiguity and limited structure. You’ll be the first analytics engineer here — no existing playbook, no dedicated data engineering team to lean on, no established BI function to slot into. You’ll be building a lot of it as you go. Wants a small, fast company on purpose — not just escaping bureaucracy elsewhere, but genuinely drawn to the trade-off: more ownership and visibility, less process and hand-holding. Lives in the tools, not in email chains. You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs. Can point to things they’ve actually built and shipped , not just designs or concepts they contributed to. Already uses AI to do the job better — Claude, Copilot, or similar — and is curious about where it can go further. Learns fast. We care more about how quickly you close a knowledge gap than how complete your CV looks today. Works well directly with Product, Marketing, Operations, and Engineering , not just with other analysts — this role sits right at that boundary. Our values Everyone at InvestEngine is expected to live these, and this role will be assessed against all five: Act like an owner — you take responsibility for outcomes, not just tasks Keep improving. Stay curious. — you push your own standards and the team’s, and you’re genuinely curious about better ways to work Achieve more together — you make the people around you (business stakeholders included) more effective, not just yourself Speak up. Share openly. — you flag risks, disagreements, and better ideas rather than sitting on them Put customers first. Create real value. — you build things because they solve a real problem, not because they’re interesting to build What you’ll do Analytics engineering & the semantic layer Design, build, and maintain dbt Core models that transform raw data into clean, well-tested, well-documented datasets Own and evolve our semantic layer — consistent metric definitions, business logic, and naming that the whole company can trust and query against Establish and enforce data modelling standards, testing practices, and documentation as the function scales Evaluate and help roll out modern BI tooling — experience with Lightdash, Omni, Looker, or Metabase all translates well — to make metrics genuinely self-serve for non-technical stakeholders Building the AI context layer Structure our models, metric definitions, documentation, and lineage so they’re machine-readable, not just human-readable — because our semantic layer is what AI tooling reasons over Make AI-driven analytics reliable: if two people (or two agents) ask the same business question, they should get the same answer, because the definition lives in one governed place Treat naming, documentation, and metric definitions as first-class engineering deliverables rather than afterthoughts, since they directly determine how trustworthy our AI-enabled BI is Use Claude to accelerate development — model scaffolding, code review, documentation, QA, and pipeline debugging — and Notion AI to keep documentation and runbooks current and genuinely useful Bring a point of view on where AI can responsibly speed up analytics engineering, and help the wider team adopt it well Data engineering & the platform Build and maintain ingestion and transformation pipelines across our stack. We use a modern data stack, such as AWS, Redshift, and Airflow Write production-quality Python for extraction, transformation, and automation tasks that fall outside dbt’s remit Help us modernise: we’re actively evolving this stack and expect you to challenge and improve it, not just operate it Warehouse cost & performance Own the performance and cost profile of our Redshift warehouse — you should be able to read a query plan, choose sensible sort and distribution keys, and design incremental models without being asked Spot and act on opportunities to reduce complexity and cost across our models and pipelines, rather than letting spend and technical debt accumulate quietly Make deliberate trade-offs between freshness, cost, and complexity — and explain those trade-offs to the business in terms they care about Data quality & observability Champion analytics engineering best practice across the company: testing, version control, code review, CI, and documentation applied to data the same way engineering applies them to software Build and own data quality, freshness, and pipeline monitoring so problems are caught by us before they’re caught by a stakeholder looking at a dashboard Set the standard for what “trustworthy data” means here, and hold the line on it as the volume of models and requests grows Upstream influence Work with our engineering teams to make sure application and event design accommodates reporting and analytics requirements before data reaches the warehouse — good analytics starts at the source, not in the transformation layer Influence payload and schema design for new services and product features, so we’re not permanently reverse-engineering business meaning out of operational tables Support analysts and business users with automation, tooling, and data engineering expertise, and provide training and guidance on how to use our data well Business partnership Work directly with stakeholders to understand their problems, not just their requested outputs — translate ambiguous business questions into pipeline and modelling requirements Act as a trusted advisor on what’s possible with our data, and push back constructively when a request doesn’t solve the underlying problem Support financial, operational, and regulatory reporting needs appropriate to a regulated investment platform Governance Apply our data classification and access model when onboarding sources: identify PII (including in free-text fields), decide what belongs in the sanitised analytics layer versus a restricted dataset, and document the outcome Implement least-privilege access across datasets, reports, and dashboards What we’re looking for Must-haves Hands-on production experience with dbt (we run dbt Core) — this is a hard requirement Strong SQL expertise Solid Python for data engineering and automation Working knowledge of AWS data services Experience with GitHub and GitHub Actions (or equivalent CI/CD tooling) for testing and deploying data code Experience with a modern BI tool (e.g., Lightdash, Omni, Looker, or Metabase), and a genuine interest in semantic layers (e.g., MetricFlow, Cube Core) and self-serve analytics Comfortable using AI tools as part of your day-to-day engineering workflow Strong communication — you can sit with a non-technical stakeholder, understand their real problem, and explain trade-offs in plain language Ownership: you’re comfortable being the first and only person in this role, and building things properly from scratch Nice-to-haves Airflow or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte Warehouse cost and performance tuning, particularly on Redshift Fintech, investment management, or another regulated industry Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets, role-based access tiers, automated PII detection Experience with Notion AI or Asana automations Day-to-day working style We favour clear thinking and simple, well-tested solutions over cleverness We expect you to engage directly with the business, not hide behind tickets — understanding the “why” behind a request is part of the job We’re genuinely trying to use AI to work faster and better, not as a buzzword — we want people who’ll experiment, share what works, and level up the team As the first analytics engineer, you’ll define what “good” looks like here: process, standards, and tooling included We believe data should be as accessible as it can safely be, and as restricted as it needs to be — good judgement applied consistently, not blanket lockdown Practical details Reports to: Chief Data Officer Team: Data & Analytics Level: Mid to Senior Location / working pattern: London / hybrid

Location: Remote in EMEA Location: This is a 100% remote role and is open to candidates residing in EMEA. Visa sponsorship is not available. About the job Testlio's fully managed crowdsourced testing platform integrates expert, on-demand testers directly into your release process. Ship faster and more confidently with global coverage across 600,000+ devices, 800+ payment methods, 150+ countries, and 100+ languages. To learn more, visit www.testlio.com . We are seeking an Engineering Manager to lead the team that owns every way the outside world connects to Testlio: our partner integrations, our public API, our identity and access surfaces. If a client’s Jira, a client’s CI pipeline, a client’s engineer, or a client’s AI agent touches Testlio, it goes through your team’s systems. This role reports to the Director, Engineering. Why will you love this job? Own the platform’s contract with the world. You’ll lead the one team that covers the whole programmatic perimeter: bi-directional sync with a dozen tools (Jira, Xray, Azure DevOps, GitHub, GitLab, Asana, Linear, Monday, TestRail, Trello, YouTrack, Slack), enterprise SSO, our public API. Build the API as a product, not a byproduct. We have a written public-API strategy: OpenAPI contracts as the source of truth, major and dated versioning, uniform auth, granular API roles, rate limiting, end-to-end request tracing. Make support self-serve. You’ll cut recurring support work at the source, with self-serve setup and diagnostics, integration health visible to the people who need it, and automation and permanent fixes instead of repeat manual triage. Partner with product and with real customers. You’ll work closely with a dedicated product manager on discovery, prioritization, and outcomes, and also directly with enterprise client engineering teams who build against our API. Why will you love being a part of Testlio? Great Culture: Testlio is a female-founded company, and half of our team identifies as women. We’re proud of our inclusive, purpose-driven culture where people genuinely enjoy collaborating. As part of our team (we call ourselves TestLions), you’ll help create exceptional digital experiences for our customers, while also contributing to our freelance network. Remote Work: Our culture is built around remote work. We’ve created systems to allow us to successfully work together asynchronously as a fully remote and globally distributed team. Testlio provides the tools and guidance for everyone to succeed in their careers in a fully remote setting. Our working style encourages everyone to make decisions, communicate effectively, and work at a sustainable pace. Investment in You: Your growth and well-being matter to us. You’ll have flexible paid time off—including national holidays, personal days, and sick days—plus stock options so you can grow with Testlio. We also provide a $300 annual learning stipend to support your personal and professional development. Winning Business: Testlio is growing, profitable, and cash-strong. We are leading our industry with exceptional clients who provide us with a high NPS score and a 4.7 rating on G2. Our business model is global, enterprise, and subscription-based. Several of our largest clients have been with us for 7+ years, and many spend $500K+/year with Testlio. What would your day look like? Shaping what's next Stay close to the code: Expect to spend roughly 20–30% of your time on hands-on engineering, including writing production code, providing substantive reviews on critical-path pull requests, and signing off on key technical designs. You'll help remove critical technical bottlenecks and contribute directly when needed, while empowering the team to own and deliver work independently. Public API strategy: Own Testlio's public API end to end: OpenAPI specifications kept current in every service repo and treated as the consumer contract, a coherent versioning and deprecation policy, consistent authentication and authorization on every endpoint, rate limiting, and traceability across the request path. Integration architecture: Set the multi-quarter technical direction for a sync platform that must stay correct across a dozen third-party APIs, each with its own data model, rate limits, and release cadence. Reduce per-vendor special-casing in favour of a common mapping and sync core. Roadmap ownership: Turn strategy into a sequenced roadmap with your product partner, and own technical delivery from concept to production. Running it with rigor Engineering operating rhythm: Establish effective planning, prioritization, and design review practices that balance delivery speed with long-term scalability. Technical leadership: Combine engineering vision and team mentorship with hands-on technical contribution, staying close to the codebase to understand the team's work and make informed technical decisions. Third-party dependency management : Own the risk that comes with depending on other people's APIs. Track vendor changelogs, deprecations and sunset dates, plan migrations before they become incidents, and keep credential, token, and connection failures from turning into client-visible outages. Production support and escalations: Own production support for your domains, including triage, escalation management, and root-cause resolution. Drive automation, self-serve setup, and permanent fixes that measurably reduce recurring support volume and improve operational efficiency. Reliability and observability: Define service level objectives for sync freshness, sync success rate, and API availability and latency; build the dashboards that make integration health self-serve; and lead root-cause analysis on production issues.Engineering standards: Ensure work is traceable and the Definition of Done is consistently met, minimizing escaped defects and keeping cloud costs in check. Team growth: Coach engineers technically, bring AI-assisted development workflows (e.g., Claude Code) into daily practice, and reduce knowledge silos through reviews and documentation. What do you need to succeed? Technical skills Engineering management: 5+ years managing a team of 4+ engineers in an agile, remote environment. Hands-on technical leadership: Recent experience writing production code and designing or evolving production systems. You are comfortable working directly in the codebase, contributing to implementation, reviewing code, and making architectural decisions alongside your team. Public or partner-facing API ownership: Proven experience designing, versioning, documenting, and deprecating APIs consumed by people outside your own company. You've made a breaking-change decision and lived with the consequences. OpenAPI, idempotency, pagination, webhooks, and rate limiting are familiar ground. Third-party integration systems: Experience building or running integrations against external APIs at scale: OAuth flows, credential storage and rotation, retries and backoff, queue and poison-message handling, conflict resolution in bi-directional sync, and per-tenant blast-radius control. Technical stack: Strong affinity with TypeScript and Node.js on AWS, including serverless (Lambda), DynamoDB, and event-driven patterns. Nice-to-haves Identity and access: Practical knowledge of OAuth 2.0, OIDC, SAML, and enterprise SSO, plus token scoping and least-privilege API roles. Broader stack familiarity: Kafka, GraphQL, Python, and React are a plus. Observability and performance: Experience with observability and APM tools (e.g., New Relic, Datadog, Sentry) and optimizing slow database transactions. Application security: Knowledge of application security best practices and integrating security review into the SDLC. Legacy modernization: Experience modernizing legacy systems or paying down significant technical debt while keeping a product running. SaaS experience: Prior experience managing a SaaS product is a plus. Human skills Fluency in English, with excellent written and verbal communication. Collaborative. Works effectively with product management and cross-functional partners in a distributed, asynchronous setting. Organized and thorough, with a meticulous approach to standards and process. Growth catalyst. Passionate about team productivity, technical excellence, and continuous improvement. Results-oriented, with data-driven decision-making. What is the application process? We do our best to bring on individuals who are excited about their role and have the potential for a great future with Testlio. Since we are 100% distributed, you'll meet with several people from our organization so you get a clear picture of who you'd work with and what the role expects. Our process typically takes 3 to 4 weeks. Application review Recruiter interview Hiring Manager Interview Live Technical Exercise 2 team and stakeholder interviews Reference checks Offer Diversity and inclusion Testlio is an equal-opportunity employer deeply committed to creating an inclusive environment for people of all backgrounds and identities. We are female-founded, and 46% of our team members identify as women. For more information, see the DEI section of our website. #LI-Remote

Location: Remote, EU Workplace: remote About us   Aave Labs began with a simple question: how do we make financial services like borrowing, saving, and earning more accessible globally?   We built the Aave Protocol, now the world’s largest and most trusted onchain lending market, connecting decentralized finance with individuals, traditional finance, and fintech.   Today, we build trusted, high-quality products that expand access to lending, credit, and savings globally   Our culture   We build trusted products that help people access and discover economic opportunities.   We hold a high bar for quality and craftsmanship. No detail is too small. Trust depends on it.   We’re a global team building products people can actually use, turning complex technology into something simple and reliable.   We stay aligned, move quickly, and think long term, while keeping teams lean and focused on impact.   About the Role We're hiring a Staff Backend Engineer to build the backend infrastructure behind Aave App, a consumer savings app that makes onchain financial products simple, secure, and intuitive, and the vault products that power it. The role focuses on the systems between blockchain protocols and the consumer experiences built around them. This includes account and wallet services, transaction orchestration, vault management, monitoring and rebalancing, partner vault integrations, high-reliability blockchain indexing, balances and yield data, funding and withdrawal flows, notifications, and performant, well-documented APIs for mobile and web clients. You'll own a broad technical area with high ownership and turn ambiguous product goals into reliable production systems. Correctness, security, and operability are critical: the services you build will support customer transactions, sensitive account flows, user funds, and financial data across both onchain and offchain infrastructure. You'll also work closely with Quant Engineers, who own the financial models, assumptions, and calibration behind vault allocation and rebalancing, and with smart contract engineers, who own onchain integration and enforcement. Backend owns the production systems, data pipelines, and services that run those models. How you can make an impact: Design, build, and operate backend services for Aave App across onboarding, funding, savings, vaults, withdrawals, portfolio data, and customer communications Build vault management, monitoring, and rebalancing systems, including partner vault integrations, and work with Quant Engineers to turn reviewed allocation models into reliable production services Build transaction-orchestration and high-throughput indexing services that safely prepare, submit, monitor, and reconcile onchain activity across its full lifecycle Integrate with smart contracts, RPC providers, account infrastructure, payment partners, and other external services, designing for degraded dependencies and partial failure Lead technical reviews for high-value systems and improve testing, observability, alerting, incident response, and deployment practices across the backend codebase Work closely with mobile, web, product, design, protocol, smart contract, quant, security, data, and operations teams to deliver coherent consumer experiences Raise the engineering standard through hands-on delivery, pragmatic architecture, clear documentation, and review that helps other engineers grow Let's connect if you have: 6+ years of backend engineering experience, including ownership of complex production systems Strong backend programming skills. Production experience with Rust is highly desirable, but we'll also consider strong systems experience in Go, C++, Zig, or Java Experience building distributed, event-driven, or data-intensive systems with clear reliability and performance requirements Strong knowledge of API/GraphQL design, PostgreSQL or another relational database, caching, queues, and observability Experience with blockchain systems or other financial infrastructure involving real capital, particularly transaction signing, private-key or key-management flows, wallet infrastructure, and onchain transaction lifecycles, is highly desirable Strong judgement around threat modelling, sensitive data, permissions, and the operational risks of systems handling financial value Nice to haves: Experience reading smart contracts and integrating with EVM-compatible networks, smart accounts, account abstraction, bridges, vaults, or DeFi protocols Experience designing constraint, optimization, solver, or allocation systems Experience building consumer fintech, savings, wallet, exchange, or payments products at meaningful scale Experience with cross-chain indexing, large-scale data ingestion, Kafka, ClickHouse, or similar infrastructure Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!   Equal opportunities statement:   Aave Labs celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at Aave Labs. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the role You own the company's identity provider: who signs in, from where, with which factors, into which applications — and how that access is granted, reviewed, and revoked. Microsoft Entra ID is the primary identity plane and the center of gravity for the role. Google Workspace, Cloud Identity, and Google Cloud IAM form a secondary domain. Microsoft 365 is in scope for tenant, licensing, and access administration. You are the escalation point for identity incidents from operations, security, service desk, and application teams — expected to resolve them, not route them onward. What you'll own Microsoft Entra ID and Microsoft 365 –    Users, dynamic and assigned groups, administrative units, directory roles, service principals, workload identities. –    Conditional Access design and rollout: named locations, client app and platform conditions, session controls, sign-in frequency, break-glass exclusions, report-only staging. –    Authentication methods policy and phishing-resistant factors. –    Application onboarding over SAML 2.0 (NameID, claims mapping, signing certificate rollover, encrypted assertions) and OIDC / OAuth 2.0 (authorization code with PKCE, client credentials, device code). –    App registrations: redirect URIs, permissions, admin consent workflow, secret and certificate lifecycle. –    SCIM 2.0 provisioning: attribute mappings, scoping filters, expression transformations, quarantined jobs, drift reconciliation. –    Tenant consent settings, OAuth grant review, remediation of over-permissioned and stale applications; defensible controls for SaaS without SSO or SCIM support. –    Joiner-mover-leaver as an automated pipeline: provisioning, group-based licensing, revocation with session and refresh token invalidation. –    Least privilege for admin access: scoped role assignments, RBAC, PIM, access reviews, entitlement management access packages. –    Service account and workload identity governance: ownership, credential rotation, permission scoping, decommissioning. –    Microsoft 365 tenant settings, licensing, admin roles; access and permission issues in Exchange Online, SharePoint Online, Power Platform. –    Diagnostics from sign-in, audit, and provisioning logs, with diagnostic settings routed to Log Analytics and KQL queries. –    Cross-tenant access settings and B2B external collaboration. Automation –    PowerShell tooling on the Microsoft Graph PowerShell SDK and Graph REST API: lifecycle, licensing, access reporting, recertification. –    Google-side automation through the Admin SDK Directory API, Cloud Identity API, and gcloud. –    Scheduled and event-driven workflows in Azure Automation Runbooks, Azure Logic Apps, or Power Automate. –    Unattended execution on managed identities and narrowly scoped app registrations, with credential rotation, structured logging, error handling, and retries. –    Automation treated as production code: version control, peer review, documented rollback. What you'll bring We care about what you can do, not which products appear on your CV. Concretely, you can: –    Decode a SAML assertion or JWT and pinpoint the failure — audience mismatch, NameID format, expired signing certificate, missing claim — without escalating to the vendor. –    Diagnose a failing SCIM job and tell scoping from attribute mapping, transformation expressions, or target schema. –    Replace a manual lifecycle process with automation that logs, retries, and can be handed to someone else to run. Experience we expect –    3+ years administering Microsoft Entra ID in production as a primary responsibility. –    Microsoft 365 tenant: settings, licensing, admin roles, Service Health –    Exchange Online: mailbox permissions, groups, mail flow, SPF/DKIM/DMARC –    Microsoft Defender: threat policies, quarantine, message trace –    Power Platform: environments, DLP connector policies, maker access –    PowerShell: Exchange Online module, Microsoft Graph SDK –    Enterprise applications, app registrations, consent and permission models, automated provisioning. –    Azure Automation Runbooks, Azure Logic Apps, Power Automate, or comparable platforms. –    Least privilege, secure administration, change management, and the discipline to leave configurations documented. –    Written and spoken English at B2 or higher. Nice to haves –    SC-300, MS-102, or SC-401 — or equivalent demonstrable expertise. –    Microsoft Entra ID Governance: entitlement management, lifecycle workflows, Privileged Identity Management. –    Microsoft Purview (DLP, retention, eDiscovery), Microsoft Defender for Cloud Apps, or Microsoft Sentinel. –    Google Cloud IAM: projects, roles and policies, service accounts, API access, OAuth credentials. –    Google Cloud workload identity federation, custom roles, organization policy constraints. –    Git, CI/CD practices, Pester, Bicep, or Terraform. –    Access evidence for SOC 2, ISO 27001, or comparable audit cycles. # LI -RK1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Malmö About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: In the Connectors team, we have six engineers. Our work enables Neo4j to connect with the data ecosystem, facilitating the movement of data from other systems into a graph for analysis and returning the results to various business systems. We build on a vast variety of technological stacks, from building products on top of Apache Kafka, Apache Spark, and Apache Beam to integrating Neo4j into Google Dataflow Templates and Microsoft Fabric. We also build backend components for our Data Importer product, including deployment of those into our Kubernetes-based infrastructure. At times, we also need to build frontends for our customers to interact with what we build. The Role: We are constantly building new or improving existing connectors for Neo4j, making our database accessible from a wider range of environments, including widely used big data and data warehouse products in the cloud and on-premise, while also helping improve the core database’s data ingestion capabilities with new features. As a software engineer in the Connectors team, you’ll: Be part of designing and architecting connectors for the Neo4j database Build and maintain new and existing connectors for various technologies Design new streaming/data ingestion APIs to make Neo4j faster and easier to use for our customers When necessary, work across teams to enhance our core database features Occasionally, build front-ends for connectors or integrations that require user interaction What you'll bring to this role: You have 5+ years of experience developing production-level software You have experience designing multi-threaded systems and algorithms You have hands-on experience with backend programming languages, such as Kotlin, Java, or Go You ideally have professional experience developing software systems, either in cloud or on-premises, involving either of the following; Distributed event streaming platforms, such as Apache Kafka or similar products, Data processing and analytics platforms, such as Apache Spark, Apache Beam, or their derivatives, Data warehouses in the cloud, such as AWS Redshift, GCP BigQuery, and Azure Synapse etc. Nice-to-have: Experience with graph databases such as Neo4j or other SQL/NoSQL databases Experience in frontend development, ideally with React and TypeScript We encourage you to apply even if you don’t have experience across all of these areas, since the team will have a mix of different skills. #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: In the Connectors team, we have six engineers. Our work enables Neo4j to connect with the data ecosystem, facilitating the movement of data from other systems into a graph for analysis and returning the results to various business systems. We build on a vast variety of technological stacks, from building products on top of Apache Kafka, Apache Spark, and Apache Beam to integrating Neo4j into Google Dataflow Templates and Microsoft Fabric. We also build backend components for our Data Importer product, including deployment of those into our Kubernetes-based infrastructure. At times, we also need to build frontends for our customers to interact with what we build. The Role: We are constantly building new or improving existing connectors for Neo4j, making our database accessible from a wider range of environments, including widely used big data and data warehouse products in the cloud and on-premise, while also helping improve the core database’s data ingestion capabilities with new features. As a software engineer in the Connectors team, you’ll: Be part of designing and architecting connectors for the Neo4j database Build and maintain new and existing connectors for various technologies Design new streaming/data ingestion APIs to make Neo4j faster and easier to use for our customers When necessary, work across teams to enhance our core database features Occasionally, build front-ends for connectors or integrations that require user interaction What you'll bring to this role: You have 5+ years of experience developing production-level software You have experience designing multi-threaded systems and algorithms You have hands-on experience with backend programming languages, such as Kotlin, Java, or Go You ideally have professional experience developing software systems, either in cloud or on-premises, involving either of the following; Distributed event streaming platforms, such as Apache Kafka or similar products, Data processing and analytics platforms, such as Apache Spark, Apache Beam, or their derivatives, Data warehouses in the cloud, such as AWS Redshift, GCP BigQuery, and Azure Synapse etc. Nice-to-have: Experience with graph databases such as Neo4j or other SQL/NoSQL databases Experience in frontend development, ideally with React and TypeScript We encourage you to apply even if you don’t have experience across all of these areas, since the team will have a mix of different skills. #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Kuala Lumpur, Malaysia; Vilnius, Lithuania About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. We are looking for an experienced STR / Investigations Manager to oversee financial crime investigations and the Suspicious Transaction/Activity Reporting (STR/SAR) process. The role will ensure investigations and regulatory reports are completed to a high standard, filed within applicable regulatory timelines, and supported by clear, defensible analysis. Key Responsibilities Lead the end-to-end financial crime investigation and STR/SAR process, from case escalation and investigation through review and regulatory filing. Review and approve investigations, STR/SAR narratives and supporting analysis for accuracy, completeness and regulatory compliance. Establish investigation and STR/SAR standards, procedures, quality controls and escalation thresholds. Ensure regulatory filings are completed accurately and within applicable jurisdictional deadlines. Ensure investigations are supported by sufficient transaction data, customer information, on-chain analysis and other relevant evidence. Identify complex or high-risk cases and escalate material matters to the relevant MLRO. Monitor investigation and STR/SAR quality, volumes, turnaround times and other key performance indicators. Provide guidance, feedback and training to investigators and STR/SAR makers to continuously improve investigation and reporting quality. Work closely with MLROs, AML Operations, Transaction Monitoring and other Compliance teams on emerging typologies, control gaps and remediation. Support regulatory enquiries, audits and reviews relating to investigations and suspicious transaction reporting. Requirements 6+ years of relevant experience in AML, financial crime investigations, transaction monitoring or suspicious transaction reporting, with experience reviewing or approving STRs/SARs. Strong understanding of AML/CFT requirements, investigation methodologies and regulatory reporting expectations. Experience leading or providing oversight of investigators, STR/SAR analysts or similar financial crime operations. Strong ability to assess complex transaction patterns and produce clear, defensible investigation conclusions. Experience with transaction monitoring, case management and blockchain analytics tools. Experience in digital assets, crypto, fintech, payments or financial services strongly preferred. Strong analytical judgement, attention to detail and ability to operate across multiple jurisdictions and regulatory requirements. Profile Strong investigative judgement with the ability to distinguish genuinely suspicious activity from false positives. Comfortable making and defending escalation and filing decisions. Hands-on and able to operate effectively in a high-volume, fast-moving environment. Strong focus on investigation quality, regulatory defensibility and continuous process improvement. Interest in leveraging technology and AI to improve investigation quality, consistency and efficiency. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Stockholm, Stockholm, Sweden Team Lead – Evergreen Product Management, Private Capital EQT is seeking an experienced private capital product management leader to head the global Private Capital Evergreen Product Management (EPM) team, shaping how EQT's evergreen offerings are positioned, communicated and supported across markets. This is a senior role at the heart of EQT's rapidly scaling evergreen platform, combining meaningful people leadership with hands-on product expertise and cross-functional influence. About the Team The Evergreen Product Management team globally manages EQT's evergreen fundraising platform, driving excellence, scalability and innovation across product positioning, fundraising preparation and the full product lifecycle. The Private Capital EPM team works closely with Coverage, Fund Strategy and senior leadership to ensure EQT's evergreen offerings are compellingly articulated and consistently supported across regions and distribution channels. About the Role As Team Lead for Private Capital Evergreen Product Management, you will set the strategic direction for a global team while remaining hands-on in shaping product narratives and fundraising deliverables that resonate with investors and distributors worldwide. You will be the senior point of accountability for private capital evergreen product management, ensuring the team operates as a cohesive, high-performing unit with clear priorities and strong cross-functional partnerships.This role currently has 3 direct reports, with the team expected to grow over time. Lead, mentor and develop the global Private Capital EPM team, establishing clear direction, quality standards and a culture of accountability and collaboration. Own product positioning for EQT's private capital evergreen offerings, ensuring a differentiated, consistent narrative across regions and distribution channels. Oversee core fundraising assets and product lifecycle deliverables, ensuring all materials are accurate, compelling and ready for external use. Lead EPM's contribution to investor diligence, complex product-related RFI responses, distributor onboarding and selected client engagements. Shape timely product and market insights, thought leadership, trigger-event messaging and updates for investors and senior leadership. Drive process standardisation, workflow optimisation and automation to support continued platform growth and scalability. Act as a senior partner to Coverage, Fund Strategy and other internal teams, ensuring effective coordination and clear cross-functional ownership. About You You are a thoughtful, commercially minded leader with deep private markets knowledge (ideally within private equity) and a genuine commitment to developing people and raising standards. You bring both the strategic perspective to set direction and the hands-on rigour to deliver consistently at a high level. What you'll bring (must-have): Significant experience in private markets product management, with a strong understanding of private equitycapital products, fundraising processes and investor and distributor requirements. Proven experience in a senior product management role, with demonstrated ability to own complex deliverables end-to-end. Experience leading and developing a team, with the ability to set clear priorities, foster collaboration and hold high standards. Strong commercial judgement and the ability to translate complex information into clear, compelling product narratives for diverse audiences. Excellent written communication skills, with c Consistently high standards for accuracy and quality. Structured approach to workload management, comfortable managing multiple products, stakeholders and geographies simultaneously. Confidence engaging with senior internal stakeholders and clientsexternal stakeholders, with well-developed relationship management skills. Nice to have: Familiarity with evergreen or semi-liquid fund structures and their specific fundraising and distribution dynamics. Private wealth experience. Experience working across multiple geographies or within a global organisation. Familiarity with workflow optimisation or process standardisation initiatives within a product or marketing function. Proficiency in PowerPoint and Excel at an advanced level, applied to fundraising or investor materials. Exposure to thought leadership or market insights production within a financial services context. What We Offer This role offers genuine scope to shape how EQT's private capital evergreen offerings reach investors -— influencing product positioning, investor engagement and the team's operating model from a senior vantage point. You will work closely with leaders across products, functions and geographies, with visible impact on one of EQT's most strategically important growth areas. EQT is a collaborative, purpose-driven organisation where people are encouraged to take ownership, develop their expertise and contribute to something that matters. Compensation & Benefits Notice We offer a competitive total rewards package including base salary, determined based on the role, experience, skill set, and location. Eligible employees may also receive discretionary incentive compensation, awarded in recognition of individual performance and company results. EQT provides a comprehensive benefits offering designed to support employee wellbeing, development, and work-life balance. Benefits include paid time off, parental leave, wellbeing and wellness support, flexible working arrangements, and learning and development opportunities. Benefits are effective from the first day of employment and may vary by location and role. Inclusion at EQT Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of more than three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has €‌​​354​‌ billion in total assets under management (€195​‌ billion in fee-generating assets under management) as of 30 September 2026, within four business segments – Private Capital, Infrastructure, Real Estate and Secondaries. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. The EQT AB Group comprises EQT AB (publ) and its direct and indirect subsidiaries, which include general partners and fund managers of EQT funds as well as entities advising EQT funds. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 2,200 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn , X , YouTube and Instagram

Location: London, England, United Kingdom EQT is seeking an experienced private capital product management leader to head the global Private Capital Evergreen Product Management (EPM) team, shaping how EQT's evergreen offerings are positioned, communicated and supported across markets. This is a senior role at the heart of EQT's rapidly scaling evergreen platform, combining meaningful people leadership with hands-on product expertise and cross-functional influence. About the Team The Evergreen Product Management team globally manages EQT's evergreen fundraising platform, driving excellence, scalability and innovation across product positioning, fundraising preparation and the full product lifecycle. The Private Capital EPM team works closely with Coverage, Fund Strategy and senior leadership to ensure EQT's evergreen offerings are compellingly articulated and consistently supported across regions and distribution channels. About the Role As Team Lead for Private Capital Evergreen Product Management, you will set the strategic direction for a global team while remaining hands-on in shaping product narratives and fundraising deliverables that resonate with investors and distributors worldwide. You will be the senior point of accountability for private capital evergreen product management, ensuring the team operates as a cohesive, high-performing unit with clear priorities and strong cross-functional partnerships.This role currently has 3 direct reports, with the team expected to grow over time. Lead, mentor and develop the global Private Capital EPM team, establishing clear direction, quality standards and a culture of accountability and collaboration. Own product positioning for EQT's private capital evergreen offerings, ensuring a differentiated, consistent narrative across regions and distribution channels. Oversee core fundraising assets and product lifecycle deliverables, ensuring all materials are accurate, compelling and ready for external use. Lead EPM's contribution to investor diligence, complex product-related RFI responses, distributor onboarding and selected client engagements. Shape timely product and market insights, thought leadership, trigger-event messaging and updates for investors and senior leadership. Drive process standardisation, workflow optimisation and automation to support continued platform growth and scalability. Act as a senior partner to Coverage, Fund Strategy and other internal teams, ensuring effective coordination and clear cross-functional ownership. About You You are a thoughtful, commercially minded leader with deep private markets knowledge (ideally within private equity) and a genuine commitment to developing people and raising standards. You bring both the strategic perspective to set direction and the hands-on rigour to deliver consistently at a high level. What you'll bring (must-have): Significant experience in private markets product management, with a strong understanding of private equitycapital products, fundraising processes and investor and distributor requirements. Proven experience in a senior product management role, with demonstrated ability to own complex deliverables end-to-end. Experience leading and developing a team, with the ability to set clear priorities, foster collaboration and hold high standards. Strong commercial judgement and the ability to translate complex information into clear, compelling product narratives for diverse audiences. Excellent written communication skills, with c Consistently high standards for accuracy and quality. Structured approach to workload management, comfortable managing multiple products, stakeholders and geographies simultaneously. Confidence engaging with senior internal stakeholders and clientsexternal stakeholders, with well-developed relationship management skills. Nice to have: Familiarity with evergreen or semi-liquid fund structures and their specific fundraising and distribution dynamics. Private wealth experience. Experience working across multiple geographies or within a global organisation. Familiarity with workflow optimisation or process standardisation initiatives within a product or marketing function. Proficiency in PowerPoint and Excel at an advanced level, applied to fundraising or investor materials. Exposure to thought leadership or market insights production within a financial services context. What We Offer This role offers genuine scope to shape how EQT's private capital evergreen offerings reach investors -— influencing product positioning, investor engagement and the team's operating model from a senior vantage point. You will work closely with leaders across products, functions and geographies, with visible impact on one of EQT's most strategically important growth areas. EQT is a collaborative, purpose-driven organisation where people are encouraged to take ownership, develop their expertise and contribute to something that matters. Compensation & Benefits Notice We offer a competitive total rewards package including base salary, determined based on the role, experience, skill set, and location. Eligible employees may also receive discretionary incentive compensation, awarded in recognition of individual performance and company results. EQT provides a comprehensive benefits offering designed to support employee wellbeing, development, and work-life balance. Benefits include paid time off, parental leave, wellbeing and wellness support, flexible working arrangements, and learning and development opportunities. Benefits are effective from the first day of employment and may vary by location and role. Inclusion at EQT Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of more than three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has €‌​​354​‌ billion in total assets under management (€195​‌ billion in fee-generating assets under management) as of 30 September 2026, within four business segments – Private Capital, Infrastructure, Real Estate and Secondaries. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. The EQT AB Group comprises EQT AB (publ) and its direct and indirect subsidiaries, which include general partners and fund managers of EQT funds as well as entities advising EQT funds. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 2,200 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn , X , YouTube and Instagram

Location: Metro Manila; Bangkok; Kazakhstan Workplace: Hybrid 📍 Manila, Philippines | Relocation required Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll lead the Finance side of the core banking system project — turning accounting needs, regulatory obligations, and product-administration realities into system requirements, and delivering against them. What you'll do: - Lead the core banking system project from the Finance side: own the plan end to end — scope, milestones, dependencies, and risk tracking — and act as Finance's subject-matter voice across vendor selection, design, and rollout. - Run UAT, data-migration validation, and cutover planning from the Finance side, coordinating closely with IT/Engineering and vendors. - Connect the dots across Finance, IT/Engineering, and Compliance — surfacing regulatory gaps tied to system limitations and helping close them, and keeping Finance leadership informed on progress, risk, and dependencies. What you'll own: - Turn accounting needs, regulatory obligations (such as BSP/MORB), and product-administration realities into concrete system requirements, and manage delivery against them. - Build and drive the accounting-backlog remediation plan with real milestones, pulling in Finance colleagues and outside help where it makes sense. - Get month-end and period-end close and reporting, based on the core banking system, integrated directly with the GL — and keep it that way. - Take the Odoo accounting-automation work into properly owned, documented, controlled, and audit-ready process. - Identify and prioritise efficiency gains — automating manual entries, reconciliations, and reporting, using AI where it applies — to cut team effort and errors. - Contribute to IPO-readiness work wherever it touches financial systems and controls. What makes you a strong fit: - 10+ years of experience with a strong track record in finance/accounting project management. - A solid grip on accounting fundamentals and the close process. - Proven automation experience — you've led or driven process-automation initiatives, not just used automated tools — including practical Odoo (or a comparable ERP) experience for accounting automation. - Strong IT literacy: comfortable with system architecture, data flows, and technical requirements — enough to bridge Finance and IT/Engineering without a translator. - Strong project-management discipline: scoping, milestone tracking, risk management, and stakeholder communication across Finance, IT/Engineering, and Compliance. - Ability to turn messy, ambiguous problems into a plan with real milestones. What we offer: OWNERSHIP AND FLEXIBILITY - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first work environment - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene HEALTH AND TIME OFF - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila RELOCATION AND FAMILY SUPPORT - Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18 GROWTH AND TEAM EXPERIENCE - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: Paris, France Workplace: Hybrid 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. MISSION Alan is scaling internationally (800+ employees, 100+ healthcare professionals, 5+ countries) and needs IT Engineers to build and own the internal technology platform every Alaner works on: identity and provisioning, endpoint and SaaS security, the tooling behind our clinics, and the automation that keeps IT from scaling linearly with headcount. The scope below is what the team owns, not a checklist for one person. You'll be staffed on one or two of these areas at a time, according to your strengths and interests, and it will evolve through time based on company needs and personal appetite. Staying close to users keeps us building the right things: you'll spend up to one day a week on IT support, seeing first-hand where friction lives and what's worth automating next. SCOPE ⚙️ PLATFORM & AUTOMATION - Own and extend automations on Alan Home, our internal provisioning engine - Maintain, extend and improve helpdesk automation, SaaS provisioning flows, and onboarding/offboarding pipelines - Own the meeting room AV and room-booking platform as a product, replicable across offices 🔑 IDENTITY & ACCESS - Own the IT side of the employee lifecycle (onboarding, offboarding, mobility between jobs and countries) across Google Workspace, SSO/SAML and our SaaS ecosystem. - Grow our role-based access model: extend it to more tools and refine the permission groups, so access is granted by role rather than case by case - Make employee lifecycle events reliable, fast and auditable end-to-end - Own access reviews and least-privilege models; produce and maintain the evidence our auditors rely on - Own SaaS procurement and license management: vendor relationships, renewals, and cost optimization across our stack 🔒 ENDPOINT & SAAS SECURITY - Own the Mac fleet in Kandji: enrollment at scale, role-based blueprints, fleet compliance - Cloudflare WARP, SaaS security controls - Maintain and strengthen our ISO 27001 certification and drive ACPR and pentest remediation on the endpoint and platform scope 🩺 HEALTH PROFESSIONALS IT - The IT layer behind Alan's clinics: practitioner tooling, equipment, access - Role and permission automation for healthcare professionals, and their support and escalation process 🌍 INTERNATIONALISATION - Make international expansion something IT accelerates, not something it slows down: a repeatable process where every new market (Canada, KSA, Armenia...) launches on our standard stack from day one - Bring acquired entities onto that same platform MILESTONES First 3 months - Acquire technical knowledge on Alan's platform: Alan Home, Google Workspace/SSO, Kandji, Cloudflare WARP - Take one project end-to-end and ship a first increment - Join the IT oncall team as technical escalation First 6 months - Own a workstream end-to-end - Deliver one automation or hardening initiative end-to-end - Take up documentation and automation on your scope and reduce significantly the bus factor on it - Mentor IT teammates on your core expertise First year - Deliver measurable IT toil reduction on your scope - Set the technical standards on your domain: how we build, document and review it - Build strong cross-functional partnerships (Engineering, Security, Workplace, Clinic, People, Audit) - Contribute to hiring and onboarding new teammates 3 years - Lead major projects end-to-end across several communities - Be the reference the team relies on across at least two domains - Mentor the IT team and beyond, and scale IT without a linear increase in manual work As the community grows, there is room to take on more responsibility: leading a crew, owning cross-community projects, mentoring, hiring. WHAT WE'RE LOOKING FOR Must-have - Technical/hard skills: - 3+ years in IT engineering, platform, systems or corporate engineering, with real ownership of production-facing systems - Depth in at least one area (platform & automation, identity, endpoint & security) and demonstrated range beyond it. - You write code: not as a full-time software engineer, but Python, APIs and pull requests in a shared repo should feel normal - Structured problem-solving: diagnoses methodically, asks the right clarifying questions, thinks about failure modes and rollback - Comfort with regulated environments: health data, ACPR, ISO 27001, HDS - Automation & AI appetite: uses AI tools smartly to accelerate their own delivery, with an instinct for what should be automated or delegated to AI rather than repeated Must-have - Behavioral / soft skills: - Ownership & autonomy: drives topics forward without hand-holding, including when they cross into someone else's perimeter - Written communication: Alan is written-first; decisions get argued in public documents and challenged by people outside your team - Pragmatic judgment: balances "perfect" vs. "good enough", decides with incomplete information - Documentation culture: reduces bus factor through clear documentation and knowledge sharing Nice-to-have skills / Bonus points if you have: - Experience with an internal provisioning or IdP-driven automation platform - Kandji or another MDM at scale - Cloudflare Zero Trust / WARP, Datadog - Audit remediation experience (ISO 27001, HDS) - Multi-country rollouts, or IT integration after an acquisition - Having mentored, coached or led a (small) crew - Health or healthtech ecosystem familiarity Languages: Fluent English & Professional French

Location: London, England, United Kingdom About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Software Engineer III - Data - FMX United Kingdom About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Data Engineer III About the Role We're looking for a Data Engineer III to join our Data Engineering team, which builds and governs the data foundation that powers the business. You'll work within our stack — Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks — helping move data reliably and securely from source to decision-ready output. You'll implement features and fixes against a given design, handle known classes of pipeline issues on your own, and escalate genuinely novel problems with clear context rather than working them in isolation. You're also expected to start contributing meaningfully in code review — catching real bugs, not just style nits. What You'll Do Implement new ingestion sources end-to-end against a senior engineer's design — connector code, DAG, schema, monitoring, and catalog registration — extending the team's existing framework where a new source needs a pattern it doesn't yet support Investigate pipeline failures independently, recognize known classes of issues, and ship the documented fix without needing to escalate Before shipping a new pipeline, identify downstream consumers and what would break if data were late or wrong, and flag gaps like this during spec review — before writing code Write clear handovers when escalating a genuinely unresolved issue — what you tried, what you ruled out, and where things diverge — so a senior can pick up without re-discovery Review peers' pipeline PRs and catch non-obvious issues (e.g., missing idempotency checks, race conditions) that could cause incorrect downstream data Turn ambiguous "why is this data wrong?" questions into structured investigations — tracing data lineage from source to warehouse and communicating back what you found Surface concerns in spec review as specific, well-reasoned questions rather than staying silent or blocking progress Support data security and governance work (e.g., PII masking, access controls) and contribute to data delivery work, including reverse ETL integrations Build strong working relationships with internal stakeholders and help scope and clarify requirements for new work Mentor DE2s on their first significant projects — pairing on tricky decisions and helping them apply team conventions What We're Looking For 3–5 years of professional software or data engineering experience Strong SQL and Python skills, with solid experience building and operating production data pipelines Comfort investigating and root-causing pipeline issues independently before escalating Experience with workflow orchestration tools (Airflow or similar) and a cloud data warehouse/lakehouse (Snowflake, Databricks, or similar) Solid understanding of data pipeline concepts: idempotency, schema evolution, backfills, and data quality/testing Experience giving substantive code review feedback, not just style or formatting comments Strong communication skills — can write a clear technical handover, ask sharp questions in spec review, and explain a data lineage investigation to a non-technical stakeholder A track record of taking ownership of known-class problems end-to-end rather than needing step-by-step direction Nice to Have Experience extending or building reusable pipeline frameworks/templates Exposure to reverse ETL tools or patterns, PII masking, or data access governance (RBAC) Exposure to observability/monitoring tooling (e.g., Datadog) for pipeline health and alerting Some experience mentoring or informally supporting more junior engineers Background in gaming, betting, e-commerce, or another regulated/high-compliance industry Why Join Us Real ownership over known-class problems, with senior/staff support available for the genuinely novel ones Work on high-visibility, high-trust systems that the business depends on A culture built around clear tenets: standardize before you scale, own the outcome (not just the ticket), and clarity over complexity Clear growth path into Senior Data Engineer, with room to start mentoring and shaping team practices along the way By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Kyiv; Lviv; Vinnytsia Workplace: onsite Ajax Systems is an international technology company and the largest security systems manufacturer in Europe. Ajax products are trusted by more than 4.5 million end users and 330,000 PRO users across over 180 countries. The company offers comprehensive solutions for protecting residential and commercial properties of various sizes. Today, the Ajax portfolio includes 280 devices for intrusion protection, video surveillance, fire safety, and comfort and automation. Every year, we demonstrate exponential growth both in the size of our team and in the number of users worldwide.   Ajax Systems operates a full-cycle production model, from idea generation and prototyping to mass production and global sales. Each department fully covers a specific operational need of the business. The company’s specialists are involved at every stage — from the production line in Ukraine to the logistics center in Poland, from where products are shipped to distributors worldwide. Now we are looking for a hands-on Cyber Security Specialist to strengthen our security posture and operational resilience. You will be at the forefront of our cybersecurity defense, responsible for incident monitoring and investigation, the deployment and improvement of security solutions, and ensuring our corporate processes and infrastructure meets compliance standards. If you are passionate about building secure systems, incidents investigation and translating technical findings into efficient mitigation actions, this role is for you. Key Responsibilities: Security systems support and improvements: Participate in security architecture improvement, provide support for the full lifecycle of security systems — from design and deployment to enhancement and technical support. Security Monitoring & Incident Response: Improve security monitoring processes and practices, participate in security events monitoring and triaging detected events. Develop and refine SIEM detection rules, investigate anomalies and identify root-cause of incidents, develop and execute mitigation plans to neutralize threats. Conduction Security Assessments: Conduct technical security assessments of corporate IT systems to identify compliance deviations and vulnerabilities. Participate in risks assessments, mitigation measures design and implementation. Compliance & Governance: Participate in improvement of security procedures, policies, and operational instructions. Collaborate with stakeholders on security processes implementation and improvement to ensure readiness for external security audits (e.g., ISO 27001, SOC2). Consultancy & Support: Partner with internal teams to define security requirements for new systems and solutions, provide expert guidance on implementing security controls. Participate in security requests processing, security awareness trainings preparation and conduction. Reporting & Strategy: Participate in preparation of reports for management, definition and description of security strategy. Required Technical Skills & Qualifications: Experience: 5+ years in CyberSecurity with a strong focus on SOC operations and security systems implementation. Core Proficiency: Hands-on experience with SIEM systems (Splunk/QRadar/Logsign/Wazuh), MDM solutions (Jamf/Crowdstrike/JumpCloud/Zoho), EDR/XDR solutions (SentinelOne/ESET/Defender), Cloud security monitoring (M365, GWS, AWS), and Firewall/WAF technologies (Cisco/PaloAlto/Fortinet/Ubiquiti). Domain Knowledge: Strong understanding of On-Premise and Cloud architectures, network security protocols, endpoint and application security. Practical experience in industry security best practices implementation (CIS, OWASP, NIST). Security assessment: Practical experience performing IT systems and application security assessments and reports preparation. Security governance: Experience in preparation of security reports, procedures and instructions for reporting. Practical knowledge of ISO 27001 technological controls implementation. Language Proficiency: Intermediate (B1-B2) English level required for working with technical documentation, cross-regional communication with colleagues and partners. Preferred Skills & Certifications: Certifications: Vendor-specific security certifications (e.g., Google, MIcrosoft, Cisco, Palo Alto PCNSE, Fortinet NSE) are highly valued. Frameworks: Practical knowledge of ISO 27001 organizational controls implementation. Why Join Us: Impact: Take ownership of security projects from concept to deployment. Culture: Work in a "zero bullshit" environment that values technical excellence and autonomy. Growth: Access to corporate English training and professional development/certification support. Health care: medical insurance. Beta Access: Get hands-on experience with new Ajax security systems before they reach the market. Innovation: Help shape the future of "Made in Ukraine" reliability.

Location: Singapore DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Software Engineer, Research Technology, you will contribute to and grow into a small team building the software platform that powers researchers running compute-heavy analyses on very large event-stream datasets. The workload is analogous to a game engine’s replay and simulation loop, a telco’s real-time packet pipeline, or a bigtech streaming and analytics platform, applied to financial market data. Domain expertise in trading and market microstructure is welcome but not required on day one; we invest heavily in onboarding and pair every new engineer with a mentor. The stack: modern C++ for the throughput-critical ingest and simulation core, Python plus C++ bindings for research tooling, distributed compute across HPC (Slurm today, evolving). You will help deliver high-quality data, fast and flexible compute tooling, robust simulation and deployment systems, and ergonomics that let researchers iterate quickly. Work spans raw exchange data ingestion, distributed HPC orchestration, and research tooling. Key responsibilities Design, build, and maintain high-performance, scalable software and data systems used by quant researchers and trading teams. Implement raw exchange data pipelines in modern C++ and operate them at high-throughput scale. Orchestrate and improve reliability of data and compute pipelines on HPC clusters. Create ad-hoc computation frameworks and research tooling that let researchers slice, backtest, and iterate rapidly (Python + C++ integrations). Develop and maintain simulation frameworks tightly integrated with HFT/live trading platforms. Support training and deployment of quantitative models used in trading. Monitor, manage, and troubleshoot distributed platforms. Optimize codebases for performance, reliability, and resource efficiency across the full stack. Required qualifications 2+ years of professional experience building large-scale, high-performance systems; daily use of modern C++ (>=17) and Python expected. Strong CS fundamentals: data structures, algorithms, networking, OS, concurrency, and system design. Data engineering fluency: designing schemas, choosing storage formats, understanding compression and I/O trade-offs, and operating pipelines that write and read hundreds of TB. Comfortable reasoning about columnar formats (Parquet / Arrow) or their equivalents in your domain (event logs, telemetry, replays). Experience designing and operating services or platforms used by other technical users in data-intensive environments. Comfortable supporting internal users and iterating on ergonomics and workflows. Demonstrated ability to ship production software safely and repeatedly, with an obsession for data driven quality. Excellent written and verbal communication; collaborative mindset and empathy Desirable / nice-to-have Rust experience alongside C++ and Python. Experience running compute at cluster scale: job scheduling, resource management, retries, and reliability. Slurm, Kubernetes, Ray, Spark, or custom internal schedulers all count. GPU programming experience. Familiarity with ML/Deep Learning frameworks. Prior finance or market-data experience, including low-level market connectivity. Historical network / packet processing (telco, network appliances, packet-capture replay infrastructure) - any exposure. Deterministic simulation and replay systems (game engines, cell simulators, distributed-systems testing frameworks) - any exposure. Dev-productivity or platform-engineering for internal users (making other engineers or researchers faster and safer) - any exposure, including internship or open-source work. What we evaluate in the interview loop We evaluate CS fundamentals, ability to reason about correctness and performance under real constraints, code quality, communication, and clear signs of growth (asks good questions, learns fast, takes feedback well). Depth of prior industry experience is not the bar; trajectory is. We do not test market-microstructure knowledge in loops; that is taught on the job. Candidates from bigtech, telco, gaming, or research-computing backgrounds have transferable skills for this role and are actively encouraged to apply. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-PR1