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Location: Warsaw, Poland [EN] Responsibilities: Develop game UI, including reworking existing screens and elements and creating new ones, in accordance with the project’s visual style Gather and clarify required project information when necessary Create all the necessary UI graphics in a given visual style Provide accurate time estimates and deliver results within agreed deadlines Collaborating with UX Designers, producers and game designers to define and implement innovative solutions for the product direction, visuals and experience Implement UI into the game, working closely with the Engineering and Tech Art teams [PL] Zakres obowiązków: Tworzenie interfejsu gry (UI), w tym modyfikowanie istniejących ekranów i elementów oraz projektowanie nowych, zgodnie ze stylem wizualnym projektu Zbieranie i precyzowanie niezbędnych informacji projektowych w razie potrzeby Tworzenie całej wymaganej grafiki UI w zadanym stylu wizualnym Dostarczanie dokładnych szacunków czasowych (estymat) i realizacja zadań w ustalonych terminach Współpraca z projektantami UX, producentami i projektantami gier w celu definiowania i wdrażania innowacyjnych rozwiązań w zakresie kierunku produktu, oprawy wizualnej oraz odczuć gracza Implementacja UI do gry w ścisłej współpracy z zespołami programistów oraz artystów technicznych Requirements [EN] Ability to work across various visual styles and create game UI aligned with a specified art direction Understanding of AAA-quality standards for UI Proficiency with UI design tools (Figma) and raster graphics software (Photoshop) Understanding of cross-platform games UI/UX specific Basic experience with game engines (Unreal Engine, Unity, etc.), including asset preparation, slicing, and implementation Ability for cross-department communication. Describe UI needs to developers, managers etc. English level - above Intermediate Nice to have: Ability to create and edit UI animations (After Effects; in-engine animation is a plus) Knowledge of the latest trends in games UI AAA games UI experience Ability to create and present interactive prototypes in Figma Understanding of a design system approach Familiarity with the version control software. [PL] Wymagania minimalne: Umiejętność pracy w różnych stylach wizualnych oraz tworzenia interfejsów gier (UI) zgodnych z określoną wizją artystyczną Rozumienie standardów jakości klasy AAA w odniesieniu do interfejsów użytkownika Biegła znajomość narzędzi do projektowania UI (Figma) oraz programów do grafiki rastrowej (Photoshop) Zrozumienie specyfiki projektowania UI/UX dla gier wieloplatformowych Podstawowe doświadczenie w pracy z silnikami gier (Unreal Engine, Unity itp.), w tym w przygotowywaniu zasobów (assetów), ich cięciu i implementacji Umiejętność sprawnej komunikacji między zespołami – jasne opisywanie potrzeb związanych z UI programistom, menedżerom itp. Znajomość języka angielskiego na poziomie powyżej średniozaawansowanego (B2+) Mile widziane: Umiejętność tworzenia i edycji animacji UI (After Effects; dodatkowym atutem będzie tworzenie animacji bezpośrednio w silniku gry) Znajomość najnowszych trendów w projektowaniu UI gier Doświadczenie w pracy nad interfejsami do gier klasy AAA Umiejętność tworzenia i prezentowania interaktywnych prototypów w Figmie Rozumienie podejścia opartego na systemach projektowych Znajomość systemów kontroli wersji (np. Git, Perforce) Benefits [EN] Medical Care package MyCafeteria system - including Multisport card and more Employee Assistance Program (EAP), offering confidential legal, financial, and personal counseling English or Polish language classes Sensibly flexible working hours Additional benefits: Care Bonus to cover health, educational and safety needs, corporate parties and team buildings [PL] Pakiet opieki medycznej System MyCafeteria – w tym karta MultiSport i wiele więcej Program Wsparcia Pracowników (EAP) – oferujący poufne porady prawne, finansowe oraz psychologiczne/osobiste Lekcje języka angielskiego lub polskiego Elastyczne godziny pracy (w ramach potrzeb projektu) Benefity dodatkowe: Care Bonus (pokrywający wydatki związane ze zdrowiem, edukacją i bezpieczeństwem), imprezy firmowe oraz wyjazdy integracyjne

Client: A global online sports betting company dedicated to building world-class technology products. Position overview: An experienced Automation Engineer in Test reporting directly to the Test Manager, working in a small agile team alongside SEITs, DevOps Engineers, and Data Engineers to ensure high-quality delivery. Responsibilities: — Design, build, and maintain data and reporting solutions using modern technologies. — Test and develop Integration layer changes, ensuring user stories meet quality standards. — Develop and maintain automated test frameworks for ETL, Big Data, API, and database validations. — Perform comprehensive test analysis and collaborate across cross-functional Agile teams. Requirements: — 3+ years of demonstrated experience with validation in Databricks. — In-depth experience in developing and maintaining automated test suites. — Proficiency in Python (preferred) and SQL. — Hands-on expertise with key test frameworks (BDD, Hybrid, PyTest, Allure). — Strong skills in Database, ETL, Big Data, and API validations. — Experience with CI/CD tools (Jenkins, GitHub Actions) and source control (Git). — Familiarity with AWS infrastructure and storage technologies (AWS, Databricks, S3, DynamoDB, Delta Lake, SQL). — Solid background in Agile ways of working. Nice to have: — Experience with streaming technologies (AWS Kinesis, Apache Kafka, Amazon MSK). — Familiarity with direct query engines (AWS Athena, Presto, Databricks SQL). — Experience using Jira and XRAY for test management. — Exposure to monitoring tools (Prometheus, Alert Manager, Grafana Loki). What We Offer: — Vacation days: Up to 26 business days per year. — 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types. — Health and life insurance (Luxmed). — MyBenefit platform with Multisport option. — Internal psychological support service. — English language classes from the first working day. — Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training. — Flexible workplace: work from the office, from home, or choose a hybrid option. — Tech Skills Mentoring Program. — Opportunities to develop as a public speaker, mentor, or technical interviewer. — Fully paid idle (bench) when not involved in a project. — Certification reimbursement (AWS, GCP, Microsoft, etc.).

Location: San Mateo Workplace: Hybrid Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is a fast-growing AI infrastructure company that has built a state-of-the-art data curation platform used to train some of the most demanding deep learning models in the world. Their technology automatically curates and optimizes petabytes of training data — algorithms that are modality-agnostic and require no labels — to make model training dramatically faster and more efficient. Customers see results that speak for themselves: 7x–40x faster training, model performance equivalent to training on 10x more raw data, and smaller models (with less than half the parameters) that outperform larger ones and substantially cut deployment costs. Backed by $57.5M raised across Seed and Series A, with investors including Microsoft, Amazon, Felicis, and AI luminaries like Geoff Hinton, Yann LeCun, and Jeff Dean, our client has built a lean team of ~60 people. This is a company already proving out results with real enterprise customers. THE MISSION Foundational models are only as good as the data they're trained on. Our client exists to close the gap between raw data and truly optimized training data — without requiring labels, without adding compute cost, and without forcing customers to compromise on model quality. Every strategic account this team lands is a chance to prove that better data curation, not just bigger models, is the unlock the industry has been missing. THE OPPORTUNITY As Forward Deployed Engineer (Post-Sales), this is a rare role at a company small enough that your fingerprints will be on every major account, and well-funded enough that the roadmap, the compensation, and the customer roster are all already real. You'll be one of the founding members of the post-sales technical org, working directly with strategic enterprise accounts to take them from signed contract to production deployment — and shaping the playbooks that the next wave of hires will use. If you've been looking for a role that lets you stay hands-on with distributed systems and model training while also owning the high-stakes customer relationships, this is that role. WHAT YOU'LL DO - Own end-to-end onboarding, deployment, and production rollout of the platform for strategic enterprise accounts — from first technical conversation through stabilization and beyond - Serve as the primary technical point of contact for your accounts, building long-term relationships and driving adoption across complex on-prem and hybrid environments - Design scalable, secure workflows spanning compute, storage, networking, and distributed systems across AWS, GCP, Azure, and on-prem Kubernetes - Translate ambiguous, real-world customer requirements into concrete technical architecture — there's no pre-written spec waiting for you; you help define the problem - Build the processes and playbooks for post-sales deployment from 0→1, knowing that what you build now becomes the foundation for the team scaling behind you - Partner cross-functionally with Sales, Engineering, and Research, relaying field learnings that directly shape the product roadmap - Travel to customer sites as needed (roughly 15%) to support critical deployments and high-stakes engagements WHAT YOU BRING - 5–10 years of experience in a post-sales individual-contributor capacity, owning customer deployments as a Forward Deployed Engineer, Post-Sales Solutions Engineer/Architect, Implementation Engineer, Machine Learning Engineer, or customer-facing engineer - Hands-on machine learning and model training experience — you understand pre-training, mid-training, and post-training concepts, not just how to call an API - Real experience deploying software into enterprise customer infrastructure - Strong Python proficiency (required) and AWS proficiency (required) - A track record of owning the full post-sales enterprise lifecycle — onboarding, optimization, and everything in between - Experience building post-sales processes or playbooks from scratch - Comfort operating in ambiguous, high-stakes, and fast-moving environments — startup or high-ambiguity experience is a plus - A technical degree (CS or equivalent) - A demonstrated ability to translate messy, ambiguous customer requirements into clean, concrete architecture - Willingness to travel to customer sites as needed (roughly 15%) - Nice to have: exposure to multi-cloud environments (GCP, Azure), on-prem or hybrid Kubernetes, or broader ML tooling — not required, but a strong differentiator Note: This role is built for people who bring both deep post-sales, customer-facing deployment experience and hands-on ML/model training expertise with measurable results. If you're strong in only one of these two areas, this likely isn't the right fit — but we'd still encourage a conversation if you're close. WHY JOIN? - Compensation: $230,000–$300,000 base plus extremely competitive equity - Health benefits: 100% covered health benefits (medical, vision, and dental) - 401(k): 401(k) plan with a 4% company match - Time off: Unlimited PTO - Wellness: Annual $2,000 wellness stipend - Learning & development: Annual $1,000 learning and development stipend - In-office perks: Daily lunches and snacks provided in the office - Relocation: Relocation assistance for employees moving to the Bay Area - Real ownership: With a lean team of ~60 people, you'll be the technical owner of some of the company's most strategic customer relationships - Proven in production: You're joining a company whose product already delivers 7x–40x faster training and measurable model performance gains for real customers - Backing that matters: $57.5M raised from Microsoft, Amazon, Felicis, and AI pioneers including Geoff Hinton, Yann LeCun, and Jeff Dean - Hybrid setup: 4 days per week in the San Mateo, CA office, with the rest of the team building alongside you in person - Visa support: Open to visa transfers, including OPT and H-1B transfers INTERVIEWING PROCESS - Initial Screen — Assesses background, interest, culture fit, comp expectations, and logistics - Hiring Manager Technical Screen (30 min) — Evaluates distributed systems experience, cloud infrastructure (AWS/GCP/Azure), Kubernetes, and post-sales/customer-facing mindset - Coding Screen (1 hour) — Live coding in Python with end-to-end debugging - On-site (3.5 hours) — System design/architecture discussion, technical deep dives, behavioral/stakeholder scenarios, and cross-functional interviews with Sales, Engineering, and Research We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

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.

About The Opportunity The Chief Auditor will serve as MoonPay's internal audit executive, responsible for designing, building, and leading an independent, risk-based audit function across MoonPay. This is a rare opportunity to build a best-in-class audit capability from the ground up within a crypto-native company at the intersection of traditional finance, digital asset infrastructure, and global regulatory complexity. The Chief Auditor will provide the MoonPay Board and senior leadership with independent assurance that MoonPay's risk management, control environment, and governance frameworks are operating effectively across a multi-entity global footprint. What you'll do Lead the design, development, and management of MoonPay's internal audit function from inception. Establish risk-based audit plans aligned with enterprise risk management and strategic objectives. Provide independent assurance to the Board and senior leadership on risk management, controls, and governance. Oversee audit execution, including scoping, fieldwork, reporting, and follow-up on remediation actions. Collaborate with external auditors and regulators to ensure regulatory compliance and continuous improvement. Build and lead a high-performing audit team, fostering a culture of accountability and continuous learning. Requirements Experience designing, building, and directing an internal audit function in a complex, multi-entity global organization. Strong knowledge of risk management, control environments, governance frameworks, and regulatory expectations across multiple jurisdictions. Proven ability to work with executive leadership and the board to translate risk into actionable insights. Experience in crypto, digital asset infrastructure, or financial services is highly desirable. Excellent leadership, communication, and collaboration skills. Qualifications Significant senior-level internal audit leadership experience (e.g., Head of Internal Audit, Chief Auditor). Demonstrated track record of building an audit function from the ground up in a fast-paced environment. Relevant professional certifications (e.g., CIA, CPA, CISA, CA, or equivalent). Strong understanding of regulatory, legal, and compliance frameworks applicable to digital assets and fintech. Team description Lead and develop MoonPay's internal audit team, collaborating with risk management, compliance, finance, and operations to provide comprehensive assurance across the organization. Tech stack Experience with audit management tools, data analytics, and regulatory technology; familiarity with platforms used for risk assessment, control testing, and governance reporting in a global, crypto-enabled environment. Benefits & perks Competitive compensation and equity opportunities. Comprehensive health, dental, and vision plans. Flexible work arrangements and a dynamic, high-performance culture. Opportunities to shape a growing function at the intersection of finance and crypto. Who you are A strategic leader with hands-on experience building and running an internal audit function in a global, regulated setting. Discerning, detail-oriented, and capable of communicating complex risk concepts to diverse audiences. A collaborator who can influence at the Board level and partner across functions.

Проект — индустриальная платформа визуализации данных нового поколения: мониторинг высокочастотных сенсорных данных промышленных активов в реальном времени. Задачи: - Проектировать и разрабатывать веб-приложения на React.js и Angular в связке с TypeScript - Создавать эффективные и отзывчивые веб-интерфейсы с фокусом на визуализацию данных и динамическую генерацию UI-форм - Оптимизировать и рефакторить существующий код - Обеспечивать интеграцию с backend-сервисами через REST API, устанавливать best practices, проводить code review Требования: - Глубокая экспертиза в React.js и Angular (продвинутые паттерны компонентов, управление состоянием) - Сильное владение TypeScript, глубокое понимание JavaScript (ES6+), HTML5, CSS3 - Знакомство с Webpack, опыт интеграции API и асинхронного программирования - Знание frontend-фреймворков тестирования, владение Git - Хорошие коммуникативные навыки на английском (C1) - Будет плюсом: Vue.js, gRPC/WebSockets, d3.js / Ant Design / ECharts / MUI, GitLab CI, AWS Условия: - Оформление по ТК Республики Казахстан - Компенсация ДМС после испытательного срока - Удалённый формат работы в международной команде

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: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Our Corporate teams support the company's performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo's Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo's success. ROLE We're looking for a Senior Finance Data & Systems Analyst – Pigment Lead, AI & BI to join our Corporate team. In this role, you'll be the internal expert and owner of our Pigment platform, while driving data, automation, and AI initiatives to elevate the Finance team's performance and service quality across FP&A and Accounting. - Progressively take full ownership of Pigment's rollout and upkeep, reducing dependency on the external service provider and becoming the go-to internal expert on the tool - Optimize platform configuration, drive integration development, and build a strategic roadmap to support consolidation and reporting needs across FP&A and Accounting - Design and implement, together with the Head of FP&A, a structured budgeting process in Pigment, including workflow, calendar, and contributor governance - Adapt and evolve Pigment use cases tied to the Accounting close process, in collaboration with the Head of Accounting - Establish robust operational controls, including disciplined change management and a comprehensive financial data governance framework (definitions, quality, single source of truth, access governance) - Lead data and automation projects beyond Pigment to improve Finance team performance, including self-service analytics, reconciliation automation, and variance analysis - Drive the deployment of AI agents to replace manual processes and enhance the Finance team's operational efficiency - Scope and contribute to building priority Finance dashboards (Looker, Tableau, Power BI, or similar), ensuring metric consistency across Pigment, BI, and Finance reporting - Develop and maintain documentation, training materials, and user support processes to champion best practices across the Finance team - Mentor and grow a junior analyst or intern, progressively delegating Pigment, data, or reporting responsibilities PROFILE - 5–8 years of experience in Finance Data, FP&A, or Finance Systems roles, ideally in consulting or a tech scale-up environment - Hands-on experience with a Pigment rollout or run, or a similar EPM tool (Anaplan, Adaptive Insights, Hyperion, etc.) - strongly preferred - Demonstrated ability to internalize a tool previously managed by an external service provider, with a mandate to build internal autonomy quickly - Comfortable working with FP&A, Accounting, and Data/IT stakeholders alike - Some experience with SQL or Python and BI tools (Looker, Tableau, Power BI, or similar) - Genuine enthusiasm for applying AI to Finance, including no-code/low-code tools, agents, and LLMs - Ability to structure a data governance approach at the scale of a Finance function - Familiarity with accounting close processes is a plus - Prior mentoring experience (junior analyst, intern, or apprentice) is a plus - Fluent in both French and English BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: 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: Dublin, IE About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As one of the founding Startup Account Executives in EMEA, you’ll pioneer the adoption of safe, frontier AI across the region by securing strategic deals with some of the fastest growing technology companies in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll build Anthropic's presence across EMEA's dynamic startup ecosystem, continuously refining our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. As an early member of our EMEA sales team, you'll help establish Anthropic's commercial foundation in the region while advancing the ethical development of AI technology. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases, collaborating cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs, providing insights that strengthen our value proposition and enhance the customer experience Help define our regional GTM operations and sales methodologies by incorporating learnings into playbooks, templates, and best practices You may be a good fit if you have: 5+ years of technical sales experience with a proven track record of driving adoption of emerging technologies with a consultative, solutions-oriented sales approach, preferably across EMEA markets Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed Exposure to negotiating complex, customized commercial agreements with multiple stakeholders Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €155.000 — €205.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE  As a direct Business & Operations partner to our Solutions team, including Deployment Strategists and Applied AI Engineers. You will work closely with Solutions leadership to build & scale the operating system that powers value & operational excellence across pre-sales and post-sales activities. You will translate our value vision into a scalable operating model by building automations, defining processes and ways of working, standing up KPIs and reporting, operationalising our internal ROI framework, feeding the feedback loop to capitalize on our successes, and embedding reusable value frameworks into customer engagements. This role is critical to turning our go-to-market strategy into repeatable, AI-native action, aligning delivery quality, output per FTE, and customer satisfaction to improve the efficiency and impact of our Solutions organisation and accelerate the value Mistral delivers to customers.   WHAT YOU WILL DO   Operating System & Automation - Build the secure-by-design operating system that links our tooling stack to the Solutions team’s needs, and design the internal tools & automations that raise output per FTE. - Streamline Deployment Strategist operations across pre-sales scoping and delivery, compounding shared knowledge, templates, and reusable IP. - Drive daily adoption of our AI layer throughout the Solutions team, productising internal work into reusable assets for the team. Value Intelligence & ROI - Operationalise the internal ROI framework per project / use case, defining and surfacing where we build value. - Define the reporting layer and metric catalog (what we collect and surface) and build the dashboards that turn our data foundation into decisions and proof of value. - Stand up the customer satisfaction measurement system (define, collect, surface) as a core input to value & operational excellence. Processes, Ways of Working & Cross-Functional Collaboration - Codify delivery playbooks, ways of working, and scaling programs end-to-end across the customer lifecycle - Partner with Revenue Growth, People Growth, RevOps, CSMs and Product & Engineering to align the operating system with company strategy and fuel the flywheel. - Ensure our operational processes are followed across geographies, embedding safety, security & compliance into our ways of working.   WHAT WE'RE LOOKING FOR - 4+ years of experience in strategic operations, business operations, or a chief-of-staff role within technical sales or solutions engineering. - Strong ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution. - Proven track record in optimising processes, impacting business KPIs, and aligning resources with business priorities. - Exceptional negotiation and diplomacy skills: ability to navigate complex stakeholder dynamics and align competing priorities. - Hands-on, execution-focused mindset with a bias for action in ambiguous, fast-changing environments. - Hands-on builder of internal tools and data workflows; comfortable turning manual processes into scalable systems. - Strong analytical skills to design ROI and value frameworks, build reporting, and translate data into operational decisions. - Technical acumen and AI fluency: understanding of AI implementation, use cases, and scaling challenges. - Native-level fluency in English; additional European languages are a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

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: 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: Neo4j’s managed cloud offering, Aura, brings the power of graph databases to the cloud. We’re forming a new team - Aura DevEx, and are looking for an ambitious Engineer to help build it. Aura DevEx is an enabling team for the Aura SaaS and cloud platform and works to improve and simplify onboarding and use of the Aura platform. Our DB software is developed to be delivered both on-prem and to our SaaS offering and Aura DexEx will play a vital role in bridging development of the DB in our cloud environment. We make Aura usable for them — in person, in docs, in CLIs, and through AI. We also work on things coupled to the AI domain for Aura development: agent skill files, AI instructions, and the workflows that let humans and agents work in this repository safely and well. The mix that matters here is software engineering, developer experience, and practical AI — not platform engineering as a full-time job. The Role: Make Aura the place where the rest of Neo4j can build. Aura is a powerful environment, but a challenging one to enter. Aura DevEx exists so that “develop in Aura” is a product, not a tribal knowledge problem. You will work with all users of the platform - both avid users and people new to the platform. You’ll also work alongside teams to help them build on top of the platform. Between directly helping engineers you will take your learnings from the hands-on sessions and improve tooling and documentation or submit feedback to owning teams on how their devex could be improved. You will not own the delivery platform. You will partner closely with our Software Delivery team so the paved road stays the paved road, and with our platform teams to ensure engineers are empowered to extend the platform to meet their needs. What You'll Do: Help teams outside Aura develop in Aura: Meet Neo4j Database (non-Aura) engineers where they are. Reduce the Aura-specific overhead of getting a change built, tested, and running in a dev environment. Improve the workflows, docs, and tooling that engineers need, — whether they are people who care about the database, a single service, or an integration, rather than the whole platform. Support incubation and onboarding: help teams become productive in Aura without Aura DevEx owning their product. Work with Software Delivery when the right fix is on the paved road, and take the work that is about who is developing and how they get started . Give feedback to the various platform teams to ensure that the underlying platform is intuitive, pleasant to use, and extensible. Contribute to the AI domain for Aura development Maintain and evolve skill files and agent instructions (AGENTS.md, Cursor/Claude skills, and similar) so AI coding agents can operate in Aura with the same constraints we expect of humans. Put evaluation and feedback around AI workflows — quality, cost, failure modes, and whether they actually save engineers time. Help Aura and non-Aura teams adopt AI in their development process without each team inventing its own stack. Treat DevEx as a product Work closely with internal engineers (Aura and non-Aura) to identify pain points. Make the experience as positive as possible for someone who does not already know Aura. Observe how people and agents use the skills, docs, and tools you ship, and iterate on that evidence. What you’ll need: Strong collaboration and communication skills. Golang experience Experience using Golang for multiple software projects ranging from scripting to larger microservice-type applications. Some knowledge around the Golang build and packaging system. Solid software engineering experience, including shipping tools other engineers use (CLIs, libraries, internal platforms, or developer-facing services). Enough Kubernetes and container literacy to help someone develop in Aura — Pods, Deployments, Docker images, and how software gets onto a cluster. Deep operator/control-plane work is not the job; being lost in Kubernetes is not viable either. Experience with modern CI/CD and Git-based workflows: taking a change from a branch to something running in an environment. Clear writing. A large part of this job is skills, docs, and instructions that both humans and models follow. An interest in other developers’ pain points, especially people who are new to a platform, and the ability to design solutions that address those pain points. What’s nice to you have: Experience with “platform as a product” or developer experience work: interviewing users, caring about onboarding, measuring adoption. Experience maintaining AI skill files, agent instructions, MCP servers, or similar structured context for coding agents. Experience with Kubernetes-related developer tooling (Make, Kustomize, Helm) and with simplifying local workflows. Experience integrating software with Google Cloud Platform, AWS, or Azure. Experience with observability: tracing, logging, and metrics — including for AI workflows. #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: Neo4j’s managed cloud offering, Aura, brings the power of graph databases to the cloud. We’re forming a new team - Aura DevEx, and are looking for an ambitious Engineer to help build it. Aura DevEx is an enabling team for the Aura SaaS and cloud platform and works to improve and simplify onboarding and use of the Aura platform. Our DB software is developed to be delivered both on-prem and to our SaaS offering and Aura DexEx will play a vital role in bridging development of the DB in our cloud environment. We make Aura usable for them — in person, in docs, in CLIs, and through AI. We also work on things coupled to the AI domain for Aura development: agent skill files, AI instructions, and the workflows that let humans and agents work in this repository safely and well. The mix that matters here is software engineering, developer experience, and practical AI — not platform engineering as a full-time job. The Role: Make Aura the place where the rest of Neo4j can build. Aura is a powerful environment, but a challenging one to enter. Aura DevEx exists so that “develop in Aura” is a product, not a tribal knowledge problem. You will work with all users of the platform - both avid users and people new to the platform. You’ll also work alongside teams to help them build on top of the platform. Between directly helping engineers you will take your learnings from the hands-on sessions and improve tooling and documentation or submit feedback to owning teams on how their devex could be improved. You will not own the delivery platform. You will partner closely with our Software Delivery team so the paved road stays the paved road, and with our platform teams to ensure engineers are empowered to extend the platform to meet their needs. What You'll Do: Help teams outside Aura develop in Aura: Meet Neo4j Database (non-Aura) engineers where they are. Reduce the Aura-specific overhead of getting a change built, tested, and running in a dev environment. Improve the workflows, docs, and tooling that engineers need, — whether they are people who care about the database, a single service, or an integration, rather than the whole platform. Support incubation and onboarding: help teams become productive in Aura without Aura DevEx owning their product. Work with Software Delivery when the right fix is on the paved road, and take the work that is about who is developing and how they get started . Give feedback to the various platform teams to ensure that the underlying platform is intuitive, pleasant to use, and extensible. Contribute to the AI domain for Aura development Maintain and evolve skill files and agent instructions (AGENTS.md, Cursor/Claude skills, and similar) so AI coding agents can operate in Aura with the same constraints we expect of humans. Put evaluation and feedback around AI workflows — quality, cost, failure modes, and whether they actually save engineers time. Help Aura and non-Aura teams adopt AI in their development process without each team inventing its own stack. Treat DevEx as a product Work closely with internal engineers (Aura and non-Aura) to identify pain points. Make the experience as positive as possible for someone who does not already know Aura. Observe how people and agents use the skills, docs, and tools you ship, and iterate on that evidence. What you’ll need: Strong collaboration and communication skills. Golang experience Experience using Golang for multiple software projects ranging from scripting to larger microservice-type applications. Some knowledge around the Golang build and packaging system. Solid software engineering experience, including shipping tools other engineers use (CLIs, libraries, internal platforms, or developer-facing services). Enough Kubernetes and container literacy to help someone develop in Aura — Pods, Deployments, Docker images, and how software gets onto a cluster. Deep operator/control-plane work is not the job; being lost in Kubernetes is not viable either. Experience with modern CI/CD and Git-based workflows: taking a change from a branch to something running in an environment. Clear writing. A large part of this job is skills, docs, and instructions that both humans and models follow. An interest in other developers’ pain points, especially people who are new to a platform, and the ability to design solutions that address those pain points. What’s nice to you have: Experience with “platform as a product” or developer experience work: interviewing users, caring about onboarding, measuring adoption. Experience maintaining AI skill files, agent instructions, MCP servers, or similar structured context for coding agents. Experience with Kubernetes-related developer tooling (Make, Kustomize, Helm) and with simplifying local workflows. Experience integrating software with Google Cloud Platform, AWS, or Azure. Experience with observability: tracing, logging, and metrics — including for AI workflows. #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: Chicago Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. You will join the Core Trading Platform team, which is responsible for the design and operation of QRT’s global electronic trading infrastructure. This team builds and maintains the ultra-low latency systems that underpin real-time trading, managing performance-critical workflows across global markets. You will work closely with developers, traders, and operations to optimise system behaviour, reduce latency, and ensure platform reliability at scale. Your future role within QRT Design and implement low-latency trading systems on Linux, focused on throughput, reliability, and determinism Engineer scalable, high-performance distributed systems that support global real-time trading workflows Analyse system behaviour using low-level tools such as packet captures, core dumps, and runtime profilers Apply deep expertise in TCP, UDP, and multicast to understanding trade-offs in short-haul vs long-haul networks Continuously profile, benchmark, and optimise code to reduce latency and increase throughput Engage across the full software lifecycle: from architecture to debugging in live trading environments Your present skillset 2+ years of professional C++/C development experience on Linux, including modern C++ and multithreading Strong expertise in TCP, UDP, multicast, and performance trade-offs in low-latency networks Experience building and operating high-throughput distributed systems in production Familiarity with scalable I/O models (e.g., epoll, io_uring), lock-free structures, and concurrent programming Deep attention to detail with a rigorous approach to performance troubleshooting and optimisation Proficiency in system-level tools (e.g., gdb, perf, tcpdump, valgrind, wireshark) Comfortable working autonomously and taking ownership from problem to solution Scripting experience (e.g., Python, Bash) and exposure to CI/CD or observability tooling is a plus Prior exposure to electronic trading or exchange-facing systems is advantageous Base salary range for this position is $150,000 to $220,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: Remote UK At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Merchant Risk Analyst, you will assess financial risk related to credit, fraud and identity associated with the merchants. You will also coordinate with cross-functional partners to assess non-financial risk – brand, reputational, legal and compliance risk. The ideal candidate will have knowledge or experience in e-commerce underwriting and/or commercial lending. They will also have a solid understanding of evaluating merchant financial risk based on 3rd party data, credit reports, and other merchant attributes. Prior work experience in payments, lending, banking or financial institutions is a plus! What you’ll do Assess brand, compliance, fraud and financial risk and determine credit exposure risk on new and existing merchants Use business credit reports, financial documents, investigative research tools, and financial market data to conduct risk assessment of Affirm’s merchants Investigate and use new sources of third party data to assess merchant financial risk Conduct ongoing monitoring of credit, fraud, and dispute/chargeback trends by merchants Business Improvement In Execution: Leverage your knowledge to provide guidance towards the automation/improvements of merchant risk evaluation What we look for 3+ years of experience in assessing merchant risk in a function such as Merchant/Seller Risk Management, Fraud, Collections, or Merchant Underwriting Experience working with cross functional partners across the organization, especially Sales and Business Development teams Experience reviewing financial documents, business credit reports and payment processor statements Ownership mentality: Demonstrate an appropriate sense of accountability, ownership, urgency and execution Compensation & Benefits Base Pay Grade - G Equity Grade - 3 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.) Base pay range per year: £66,000 - £76,000 Location: UK Remote #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.