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Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.   WHAT THIS ROLE MEANS AT HIGGSFIELD Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing. This role makes the company act per user, and know what that action was worth. You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number. You make sure: - Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else - We know who is about to churn early enough to do something about it — and we know whether the something worked - Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three - Every model and every campaign has a holdout behind it, so we can always state what it is worth in money WHAT YOU WILL DO Churn, retention & lifecycle propensity - Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it. - Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing. - Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system. - Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list. Uplift modelling & offer targeting - Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves. - Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes. - Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off. - Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup. - Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it. Lifetime value & payer economics - Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount. - Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes. - Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling. - Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it. Experimentation & causal measurement - Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it. - Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying. - Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud. - Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck. How we ship - Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining. - Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit. - Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score. - Write down what each model is worth, in money, and keep that number current. WHO WE'RE LOOKING FOR - Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this. - Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale. - Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift. - Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot. - Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer. - Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model. - Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule. - Clear written and spoken English, B2+. Backgrounds that often do well: - Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached - CRM and lifecycle data scientists who owned campaign targetingandits incrementality - Causal inference and uplift specialists who ship policies rather than papers - Strong product analysts who moved into modelling and kept the decision instinct WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open - Want to own a recommender or a serving stack — ranking is not in this role's scope today - Would target an offer at the users most likely to buy and call it personalization - Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't - Optimize AUC and hand the score to someone else to work out what to do with it - Need clean labelled data, a feature store and an experimentation platform to exist before you can start - Want predictable 9–5 workdays HIRING PROCESS We move fast: - Screening call (30 min) - Technical interview & case study (1 hour) - Practical home task (7 days) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Romania; Albania; Kazakhstan; Azerbaijan; Armenia; Moldova At Emerging Travel Group , we’re on a mission to revolutionize the travel industry with cutting-edge technology and unparalleled customer service. We pride ourselves on our dynamic, innovative culture and are seeking passionate, detail-oriented professionals from the travel industry who excel at turning complex travel requests into seamless experiences for our B2B partners. We're looking for an experienced Corporate Travel Operations Specialist to manage end-to-end travel arrangements for premium corporate accounts and VIP travelers—from hotels and transportation to custom experiences worldwide, for both business travelers and executive groups. This role requires outstanding communication skills, strong supplier negotiation abilities, and an uncompromising dedication to exceptional quality of service. Requirements What You’ll Do Corporate Client Management: Act as the main point of contact for corporate accounts and VIP travelers, handling complex business travel requests via email, phone, chat, or CRM, and ensuring a world-class experience at every stage. Expert Travel Consulting: Advise corporate travelers and travel managers on the best options; provide tailored solutions for flights, hotels, transfers, and premium services worldwide. Online & Offline Booking Mastery: Book travel services through our online platform and work directly with our global supplier network for offline arrangements—hotels, DMCs, transfers, rail, ferries, cruises, and airlines. Supplier Relations: Source options and negotiate directly with hotels, service partners, and travel providers to secure the most optimal agreements on rates, terms, and conditions for corporate clients. Lifecycle Support: Manage the full cycle of each booking, including confirmations, payments (including virtual card processing), vouchers, changes, cancellations, and refunds—delivering seamless support from inquiry to post-trip resolution. Internal Collaboration: Coordinate closely with Online Support, Finance, Product, Sales, and Account Management to ensure operational excellence and smooth information flow for corporate partnerships. Quality & SLA Control: Resolve operational issues, monitor performance against SLAs, and proactively escalate incidents to deliver a consistently high standard of corporate travel service. What We’re Looking For Corporate Travel Expertise: Experience in business travel management, premium customer service, TMC, DMC, or high-touch corporate travel operations. Supplier & Destination Knowledge: In-depth knowledge of hotel and airline operations and global destination management. Language Proficiency: Upper-Intermediate (B2+) level of English and Italian is required. Communication Excellence: Strong interpersonal, written, and verbal communication abilities; able to confidently work with demanding corporate clients and negotiate with suppliers. Organization & Precision: Proven capacity to handle multiple, complex corporate requests simultaneously with outstanding accuracy and professionalism. Tech Savvy: Comfortable with CRM systems, online booking tools, and other travel management technologies. Solutions-Oriented: Proactive and resourceful in resolving challenges in a fast-paced corporate travel environment. Benefits What We Offer Remote Work: Flexibility to work from anywhere. Competitive Compensation: Attractive base plus bonus structure. Corporate Exposure: Collaborate with leading global companies and manage travel for top executives. Professional Growth: Advance your career handling challenging, high-profile cases. Continuous Learning: Ongoing training, seminars, and opportunities to attend top industry events. Travel Perks: Take advantage of corporate rates and unique travel discounts worldwide. The Process Intro Chat: Welcoming conversation with our HR team. Remote Set-Up Check: Quick internet speed test to ensure remote readiness. Manager Interview: In-depth discussion about your experience and the role specifics. Interview Results! Learn more about our data protection practices in our Privacy Policy . If this sounds like the perfect fit for you, we’d love to hear from you! Apply now and let’s create amazing travel experiences together!

Location: Mississauga Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. PointClickCare is searching for a Principal AI Engineer who will lead and design AI systems across multiple SaaS solutions following our AI Design Patterns, defining technical standards and reusable patterns for reasoning, tool use, and coordinated action. This role will be part of a team which drives enterprise-wide AI enablement by defining strategy, evangelizing adoption, and delivering measurable business impact. It identifies and prioritizes high-value AI use cases, builds scalable AI solutions, and creates playbooks and patterns to accelerate implementation. Through innovation hubs and close collaboration with product, engineering, and operations, the team transforms prototypes into production-ready solutions. Additionally, it invests in talent development, equipping teams with the skills and tools to embed AI across the organization and leads governance of AI solutions across the organization.      To succeed as a Principal AI Engineer at PointClickCare, you need to be highly innovative, creative, accountable, collaborative, and passionate. The Principal AI Engineer partners with cross-functional teams to transition prototypes into secure, observable production solutions and establish playbooks, evaluation frameworks, and platform components to accelerate adoption. Additionally, the Principal AI Engineer mentors' teams and ensures alignment with Responsible AI, security, and regulatory requirements.    Responsibilities    - Set the technical vision and reference architecture for agentic AI across applications defining org-wide standards for reasoning loops, tool use/function calling, memory, safety, and interoperability.   - Build and govern reusable platform components—model broker & multi-model routing, orchestration services, evaluation harnesses, prompt/versioning stores, and telemetry—to accelerate adoption across teams.   - Develop and refine advanced prompting strategies for LLMs.    - Drive cross-functional roadmaps and integration standards across  business teams—setting API/versioning contracts, optimizing LLM/agent cost performance, and mentoring engineers to raise the bar.   - Establish and evolve evaluation frameworks for LLMs and agentic systems, including offline and online testing methodologies, safety assessments, quality metrics, and business outcome dashboards. - Be the go-to Subject Matter Expert (SME) and internal AI expert for relevant enterprise applications, senior leadership, vendors, business partners and internal team members while staying ahead of emerging trends and advising on best practices  - Identify, prioritize and execute AI use cases with clear business outcomes  - Be a coach/mentor for other engineers on AI maturity, including performing peer reviews, leading technical knowledge sharing sessions, establishing engineering best practices, approving pull requests and improving the overall quality of the technical solution      Qualifications we are looking for:  Proven leadership shipping agentic AI at scale across multiple products, setting organization wide standards for reasoning loops, tool use/function calling, memory, safety, and interoperability.  Must Have - Expertise & Hands-on experience in Agentic AI Tech stack primarily in Microsoft (Azure AI Foundry, Azure OpenAI, and Azure AI Document Intelligence) and Anthropic (Claude Cowork and Claude Code).  Must Have - Advanced Python & Java expertise in production systems (testing, packaging, performance profiling) and deep experience extending agent frameworks such as Anthropic, LangChain, and Foundry.  RAG/agent data pipeline expertise: document preprocessing (OCR/NER), chunking strategies, embeddings, vector stores, and data quality/versioning—with evaluation of harnesses for quality, cost, and latency  Extensive knowledge and understanding of enabling and maturing AI in a SaaS landscape.  Model serving and cost/perf optimization: experience with model broker patterns, multi-model routing, and serving stacks  Must Have - knowledge of relational databases (e.g. Microsoft SQL Server, PostgreSQL) Experience using system and performance monitoring tools (e.g. AppDynamics, Kibana, OpenTelemetry) BSc/BA in Computer Science or a related degree   Bonus points for: ·       Experience with Docker, Kubernetes and Istio ·       Experience with AWS/Azure cloud services or equivalent ·       Experience with Service Oriented Architecture  ·       On-call experience with production grade systems   #LI-AV1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $174,000-218,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Spain Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We're hiring Senior Product Designers for Credit & Cards (credit application, card issuance, and repayment experiences used by real businesses managing real money). You'll own design from discovery through delivery, turning complex financial workflows into experiences that are simple, trustworthy, and easy to act on — working closely with Product, Engineering, Analytics, and Research. What You’ll Do Own end-to-end design for your domain — from problem framing and research to shipped, polished UI. Use research, product data, and customer feedback to guide and defend design decisions. Collaborate with Product Managers, Engineers, and Analysts to scope work and define outcomes. Contribute to the design system, improving consistency, accessibility, and craft across the interface. Design credit application, card issuance, and repayment experiences that build trust in complex financial decisions. Translate compliance and risk requirements (credit checks, KYC, repayment terms) into clear, honest, usable flows. Balance conversion goals with responsible communication of risk and cost to the customer. Who You Are 4+ years of experience in product design, with ownership of complex, multi-step user flows. A strong portfolio showing user-centered thinking and polished interaction/visual craft. Hands-on experience designing native mobile app products (iOS/Android), you should be comfortable with mobile-specific interaction patterns and constraints (touch, limited screen space, performance, offline states) Experience designing platforms with multiple states, permissions, edge cases, and dependencies. Comfortable using research, data, and business context to defend design decisions in cross-functional squads. Fluent professional English Nice to Have Fintech, SaaS, or other regulated/complex-industry experience (not required — a plus). Prior experience with lending, payments, or KYC/compliance flows. Regular use of AI tools (e.g. prototyping, research synthesis) in your workflow. Hiring Process Step 1: Async Portfolio Review — We review your portfolio link and one written response to assess craft and design quality before scheduling any calls. Step 2: Hiring Manager Call — A video chat with VP of Design focusing on your ownership, drive, and collaborative style. Step 3: Take-Home Assignment — A practical Finom product case study (3–5 days turnaround) evaluated for strategic thinking, user insights, and design execution. Step 4: Live Presentation & Cross-Functional Interview — A full walkthrough and Q&A with design and product leads. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Poznań, Poland; Warsaw, Poland Workplace: hybrid Budujemy zrównoważone platformy handlowe, z których w każdym miesiącu korzystają miliony ludzi – kupują i sprzedają samochody, znajdują domy, zdobywają pracę oraz handlują rzeczami z drugiej ręki. To handel, który naprawdę się liczy: bezpieczny, inteligentny i odpowiedzialny środowiskowo. Osiągamy to dzięki odwadze wprowadzania innowacji, koncentracji na rezultatach, współpracy ludzi z ponad 50 narodowości na ponad 7 rynkach oraz podejściu, w którym prawdziwi ludzie są najważniejsi. Do tego dochodzi ambicja zwyciężania – i powstaje kultura pełna energii, oparta na zaufaniu i nastawiona na rozwój. Nasze marki – OLX, Otomoto i Otodom – są uwielbiane przez miliony użytkowników. Co więcej wspiera nas Prosus, jeden z największych inwestorów technologicznych na świecie. Dołącz do OLX i zobacz, jak daleko możesz zajść. Co będzie należało do Twoich obowiązków? Rozwój wartości portfela kluczowych klientów w ramach kategorii Usługi OLX. Aktywne poszukiwanie i pozyskiwanie nowych klientów dla kategorii: Usługi, Noclegi oraz Wypożyczalnia. Budowanie i utrzymywanie trwałych relacji biznesowych poprzez spotkania bezpośrednie oraz aktywny kontakt telefoniczny. Prowadzenie sprzedaży doradczej , w tym wnikliwe badanie potrzeb klienta, prezentacja wartości biznesowej oraz kalkulacja wskaźników (np. ROI). Aktywne promowanie oferty OLX Usługi oraz stałe zwiększanie adopcji narzędzi wspierających pracę naszych klientów. Inicjowanie i prowadzenie działań edukacyjnych dla klientów (webinary, spotkania online oraz offline). Nawiązywanie strategicznych partnerstw B2B z dużymi sieciami handlowymi (m.in. z branży budowlanej / DIY). Gromadzenie ustrukturyzowanego feedbacku produktowego od kluczowych partnerów biznesowych w celu dalszego rozwoju oferty. Co będzie Ci potrzebne, żeby odnieść sukces na tym stanowisku? Udokumentowane doświadczenie w sprzedaży B2B związane z branżą Usług roli bezpośredniego doradcy klienta. Doskonała znajomość technik sprzedaży doradczej i umiejętność swobodnego poruszania się w analizie potrzeb klienta. Wysoko rozwinięte zdolności analityczne – potrafisz opierać swoje argumenty na liczbach i wskaźnikach biznesowych (ROI, współczynniki konwersji). Doświadczenie w obszarze pozyskiwania nowych klientów oraz  oraz umiejętność prowadzenia skutecznych negocjacji. Świetne umiejętności prezentacyjne, niezbędne do prowadzenia webinarów i spotkań edukacyjnych z partnerami. Gotowość do odbywania regularnych podróży służbowych na terenie całej Polski. Zrozumienie specyfiki branży e-commerce, usług online lub platform marketplace będzie Twoim dodatkowym atutem. A co my możemy zaoferować Tobie? Zatrudnienie na umowę o pracę w międzynarodowym środowisku, w największym i najskuteczniejszym serwisie ogłoszeń w Polsce Atrakcyjny system premiowy Bogaty pakiet benefitów w systemie kafeteryjnym (do wyboru m.in.: opieka medyczna, karta sportowa Multisport, ubezpieczenie, vouchery do sklepów, bilety na wydarzenia i wiele innych) Pracę w nowoczesnym biurze w centrum Poznania/Warszawy Morze możliwości rozwijania siebie ( m.in . kursy e-learningowe, szkolenia, webinary) Grupa OLX działa na 7 rynkach z 10 markami, obsługując 64 miliony aktywnych ogłoszeń dziennie i 29 milionów użytkowników aplikacji miesięcznie.  Każdego dnia pomagamy ludziom kupować i sprzedawać samochody, znaleźć wymarzone mieszkanie, zdobyć pracę i handlować rzeczami z drugiej ręki. To handel, który naprawdę się liczy – bezpieczny, inteligentny i odpowiedzialny dla środowiska. Jesteśmy różnorodną społecznością profesjonalistów składającą się z prawie 3000 pracownikow z ponad 50 narodowości. Wspólnie tworzymy organizację, w której każdy głos się liczy, a ludzie mogą rozwijać się i osiągać swoje cele. W Polsce nasza mocna reprezentacja to marki OLX, Otodom i Otomoto. Więcej informacji znajdziesz na: www.olxgroup.com Jeśli chcesz dowiedzieć się więcej o tym jak pracuje się w Grupie OLX sprawdź: https://www.facebook.com/PracujwGrupieOLX/ *Wszystkie określenia wyrażone w formie męskiej odnoszą się w jednakowym stopniu do pozostałych płci i nie mają na celu jakiejkolwiek dyskryminacji. Grupa OLX sp. z o.o. wdrożyła wewnętrzną procedurę zgłaszania naruszeń prawa. Masz prawo zgłosić naruszenie prawa za pośrednictwem strony internetowej lub telefonicznie za pośrednictwem dowolnego z numerów telefonów wymienionych na tej stronie. Weryfikacją zgłoszeń oraz podejmowaniem działań następczych zajmują się upoważnieni do tego członkowie zespołu ds. etyki i zgodności. Wszelkie zgłoszenia będą traktowane z najwyższą starannością, poufnością i zgodnie z obowiązującymi przepisami prawa. Różnorodność, równość i inkluzywność w OLX OLX ceni różnorodność i zaprasza do składania aplikacji kandydatów wszystkich ras, grup etnicznych, niepełnosprawnych, w każdym wieku, każdej płci, orientacji seksualnej, wyznania, pochodzenia i doświadczenia. Jeśli ta rola Cię interesuje, zachęcamy do złożenia aplikacji, nawet jeśli nie spełniasz wszystkich wymagań – możesz być idealnym kandydatem na to stanowisko lub inne możliwości pracy w naszej firmie! OLX przetworzy Twoje dane osobowe w celu oceny Twojej przydatności na stanowisko, o które się ubiegasz. Możesz wyrazić zgodę na przechowywanie swoich danych przez okres do 12 miesięcy po zakończeniu procesu rekrutacyjnego w celu rozważenia ich w przyszłych ofertach pracy w OLX. Aby uzyskać więcej informacji na temat przetwarzania danych aplikacyjnych, zapoznaj się z naszą Polityką prywatności.

Location: Remote Workplace: Remote About the Organization World Foundation serves as the steward of World, an open-source protocol supported by a global community of developers, individuals, economists, and technologists. World is building a real human network designed to accelerate people in the age of AI. As bots and autonomous agents reshape the internet, people, institutions, and applications need a trusted way to confirm who is a real human while preserving privacy. The Foundation supports and expands the network’s self-sufficiency, including through protocol governance, grants, community affairs, and ecosystem development. Tools for Humanity is a core World contributor and operates World App. This role is hired by and represents the World Foundation. The Opportunity As AI and autonomous agents reshape the internet, proving who is human while preserving privacy is becoming critical infrastructure. World ID already serves as a trust layer for consumer platforms and enterprises, and our goal is to make World ID the default trust layer for agents. This role leads that push. We're seeking a Head of Community and Ecosystem to define and lead the voice of the World Foundation and World Chain across the AI, Web3, technology, and broader digital communities. This is a senior, hands-on role for someone who knows crypto and AI inside out, has a proven track record in building credibility across influential communities, and can ensure that World Foundation is represented in the online and offline conversations and events that matter most. What You’ll Do - Own the integrated communications strategy and narrative for World Foundation, World Chain, and the broader World ecosystem. - Build a strong presence across crypto-native channels, especially https://x.com/X.com http://X.com, while supporting broader media and public communications. - Ensure World Foundation has a voice in important AI, Web3, digital identity, privacy, and emerging technology conversations. - Identify important AI and Web3 conferences, events, and communities, and ensure the Foundation is represented in the right places. - Build relationships with developers, builders, researchers, investors, founders, opinion leaders, media (traditional and new or emerging), and ecosystem partners. - Translate complex technical, governance, and ecosystem work into clear communications for different audiences. - Partner with Tools for Humanity’s communications and marketing teams to coordinate messaging and represent the Foundation’s perspective. - Manage the Events Manager and Grants Specialist, and lead external communications, community, and growth agencies and contractors where appropriate. - Support the Foundation’s grants and ecosystem strategy by identifying high-leverage partners and opportunities. - Travel regularly to build relationships and represent World at relevant events. What We’re Looking For - Significant experience in strategic communications, community, ecosystem, media, or a related function, ideally in crypto, AI, technology, or open source. - Fluency in Web3 and AI communities, including the leading companies, researchers, founders, conferences, and industry conversations. - Excellent writing, communication, and judgment, with experience engaging technical audiences, developers, founders, investors, media, and opinion leaders. - Experience managing teams and overseeing communications, community, or growth agencies and contractors. - Ability to build trusted relationships and operate independently in a fast-moving environment. - Willingness to travel approximately 20–25% of the time. Nice to Have - Experience with grants, ecosystem development, partnerships, or community programs. - Existing relationships across AI, crypto, developer, research, media, and technology communities. Who You Are - You’re fluent in crypto and know how to engage credibly with its communities. - You are genuinely interested in AI and have existing relationships across AI, crypto, developer, research, and technology communities. - You know where important conversations are happening and how to make sure World is represented and meeting the moment appropriately and successfully. - You are a clear thinker, compelling writer, and credible representative. - You are comfortable moving between strategy, relationship-building, events, and hands-on execution. - You have high agency, are self-directed, collaborative, and motivated by ambitious, mission-driven work. - You thrive in start up environments and display grit. - You’re based in the CET or ET time zones.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence About Reddit Reddit is a community of communities, built on shared interests, passion, and trust. With 100,000+ active communities and 101M+ daily active unique visitors, we’re one of the largest sources of conversation and knowledge on the internet. For more information, visit redditinc.com . Team Overview The Ads ML Platform team builds infrastructure that accelerates high-scale ML systems and tooling for Ads ML, while extending reusable capabilities to broader Reddit ML use cases where appropriate. Our systems help ML engineers move faster across the full development lifecycle: creating features, generating training data, running offline experiments, validating model quality, launching production models, and operating ML systems reliably. We are looking for a Senior Staff Machine Learning Systems Engineer to lead the technical strategy for the end-to-end Ads ML engineer lifecycle. The initial focus will be on the feature development and training iteration loop: making it faster and easier for ML engineers to build features, generate reliable training data, run experiments, and move from idea to validated model improvement. Over time, this scope will expand into serving and online experimentation workflows, creating a more seamless path from offline iteration to production impact. This is a senior technical leadership role for someone who can combine deep systems expertise, production ML experience, architectural judgment, and cross-team influence. What You’ll Do Own the technical strategy for the end-to-end Ads ML engineer lifecycle, starting with feature development, training data, offline experimentation, and model iteration workflows. Align Ads ML platform priorities with Reddit’s broader ML Platform vision, translating Ads pain points into reusable platform capabilities where appropriate. Define architecture and technical standards for ML feature and training-data systems across batch/streaming computation, backfills, lineage, quality, observability, and online/offline consistency. Stay close to ML engineers and platform customers to identify high-leverage friction points and improve day-to-day development velocity. Build platform abstractions and workflow automation that make ML development faster, safer, more reliable, and more self-service. Over time, extend the platform strategy into serving and online experimentation workflows, creating a more seamless offline-to-online ML development experience. Partner across Ads, ML Platform, Data Platform, modeling, product, and engineering teams to clarify ownership, resolve ambiguity, and drive durable execution. Mentor Staff and senior engineers, raise the architecture and operational bar, and help grow the next generation of technical leaders. Who You Might Be You have 8+ years of experience in infrastructure, distributed systems, ML platforms, data platforms, or large-scale backend systems. You have 4+ years building or operating production ML infrastructure, feature platforms, training data systems, experimentation systems, or large-scale data pipelines. You have led broad, ambiguous, multi-team platform initiatives from strategy through adoption. You have built platforms used directly by ML engineers, data scientists, or product teams developing production ML systems. You have deep experience in ML platform, feature platform, training data, experimentation, developer infrastructure, or distributed data infrastructure. You have worked with distributed data and compute systems such as Spark, Flink, Kafka, Ray, Airflow, Iceberg, Kubernetes, BigQuery, Snowflake, Databricks, or similar technologies. You can balance urgent customer needs with durable long-term architecture and reusable platform patterns. You influence senior engineers and leaders through clear technical reasoning, RFCs, design reviews, decision frameworks, and operating mechanisms. You are excited to shape how production ML systems are built, scaled, and operated, not only how models are trained. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $292,500 — $409,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Poland Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We're hiring Senior Product Designers for Credit & Cards (credit application, card issuance, and repayment experiences used by real businesses managing real money). You'll own design from discovery through delivery, turning complex financial workflows into experiences that are simple, trustworthy, and easy to act on — working closely with Product, Engineering, Analytics, and Research. What You’ll Do Own end-to-end design for your domain — from problem framing and research to shipped, polished UI. Use research, product data, and customer feedback to guide and defend design decisions. Collaborate with Product Managers, Engineers, and Analysts to scope work and define outcomes. Hands-on experience designing native mobile app products (iOS/Android), you should be comfortable with mobile-specific interaction patterns and constraints (touch, limited screen space, performance, offline states) Contribute to the design system, improving consistency, accessibility, and craft across the interface. Design credit application, card issuance, and repayment experiences that build trust in complex financial decisions. Translate compliance and risk requirements (credit checks, KYC, repayment terms) into clear, honest, usable flows. Balance conversion goals with responsible communication of risk and cost to the customer. Who You Are 4+ years of experience in product design, with ownership of complex, multi-step user flows. A strong portfolio showing user-centered thinking and polished interaction/visual craft. Hands-on experience designing native mobile app products (iOS/Android), you should be comfortable with mobile-specific interaction patterns and constraints (touch, limited screen space, performance, offline states) Experience designing platforms with multiple states, permissions, edge cases, and dependencies. Comfortable using research, data, and business context to defend design decisions in cross-functional squads. Fluent professional English Nice to Have Fintech, SaaS, or other regulated/complex-industry experience (not required — a plus). Prior experience with lending, payments, or KYC/compliance flows. Regular use of AI tools (e.g. prototyping, research synthesis) in your workflow. Hiring Process Step 1: Async Portfolio Review — We review your portfolio link and one written response to assess craft and design quality before scheduling any calls. Step 2: Hiring Manager Call — A video chat with VP of Design focusing on your ownership, drive, and collaborative style. Step 3: Take-Home Assignment — A practical Finom product case study (3–5 days turnaround) evaluated for strategic thinking, user insights, and design execution. Step 4: Live Presentation & Cross-Functional Interview — A full walkthrough and Q&A with design and product leads. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Minsk Workplace: hybrid We are seeking a Senior Full-Stack Engineer  to join our distributed engineering team. IDT/NRS builds the Point of Sale platform that runs tens of thousands of independent retail stores across the United States. We are now expanding that platform into restaurants.  If you like challenges where the hard part is getting it right at scale rather than getting it working once, this is that job! Primary location - Minsk, Belarus (hybrid - 3 days/week in the office)! What you will own: Architecture and delivery of new restaurant facing services, from data model to API to the screens merchants actually touch. The merchant facing restaurant surfaces: kitchen display and everything staff touch across the life of an order. Extending and hardening existing production services without destabilizing them. Correctness under concurrency: transactional integrity, isolation levels, idempotency, race conditions, retries, and honest tradeoffs where perfect guarantees are not available. Behavior when the connection drops. A store keeps serving whether or not the network is up, which means offline capable clients, local state, sync on reconnect, and reconciling what happened while the system was split. Queueing and asynchronous processing, background jobs, and event driven flows. Safe rollout of releases that reach tens of thousands of users. Working directly with product managers and designers to shape what gets built, not just receiving requirements and implementing them. Technical direction and code review for other engineers, including the judgment to say when a design is wrong and the credibility to make that stick. Required Qualifications: 6-8+ years building full-stack products , including time as the senior person on the work. Deep Node.js and TypeScript experience across the full-stack , with production services you designed and still stand behind. Deep understanding of REST API design and microservices. Strong relational database skills, Postgres or MySQL : schema design, indexing, query tuning, transactions, and what actually happens under load. Comfort with non relational stores such as Redis or MongoDB, and with caching and invalidation. Experience with queues and streaming, whether Kinesis, Kafka, RabbitMQ, SQS, BullMQ, or similar, including the failure modes that come with them: ordering, duplicates, replay, and consumer lag. Front- end skill that matches the environment: our team use these screens during a rush, on a terminal or a tablet, with no time to think and no tolerance for a bad interaction. We use Vue. Experience with React or Angular is fine , as long as it includes component architecture, state management, and progressive web apps. Real time interfaces built on websockets, ideally socket.io. Order flow and kitchen display depend on it. Excellent debugging. You can take an unfamiliar production failure and reason your way to root cause instead of guessing. Parts of the existing platform are PHP. Working effectively in unfamiliar code, with AI, is part of this job. Experience deploying services that scale horizontally, tolerate a failed instance or a slow dependency, and automatically add or shed capacity. Comfortable on Linux, and fluent with Git and CI and CD workflows. Excellent written and spoken English. You will be in daily conversation with teams in the United States and Israel, and will often be the person explaining a technical decision to people who did not attend the design discussion. How you work: AI first. You use AI tooling as a core part of how you engineer: mapping an unfamiliar codebase in hours instead of weeks, pressure testing your own designs, moving faster without lowering the bar. You apply it across the whole lifecycle: shaping a design before any code exists, writing and refactoring, reviewing your own work, as well as automated PR reviews. You jump in. Handed a large, complex, unfamiliar repository, your instinct is to open it and start reading. Complexity and sensitivity are reasons to be careful, not reasons to wait for someone else. You build services that stay maintainable. Clear boundaries, readable code, tests that earn their keep, observability that makes production legible. The next engineer should be able to operate what you built without a tour guide. You think about the person on the other side. During a rush, a confusing screen or one extra tap is not a cosmetic problem. It is a slower line and a worse night for the staff. You go the extra mile. You follow a problem to its actual end, including the parts nobody assigned to you. You take pride in the work and you care how it lands for the merchant on the other side of the screen. What We Offer: Hybrid in Minsk work opportunity! Stable job with long-term growth perspective. Competitive salary with annual performance review. Top-tier hardware to support your productivity. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk and Chisinau office employees. About us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues. We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions. About NRS: National Retail Solutions (NRS) is a leading provider of point-of-sale, payment, and digital solutions to tens of thousands of independent retailers across the United States and Canada. NRS is now expanding into a completely new vertical: restaurant technology. We are building a brand-new Restaurant POS platform, a modern and highly capable system designed specifically for restaurant operations. This is one of the most significant product expansions in NRS history and will open a major new market for the company. This is a real opportunity to help build something new and important. It seems like you are interested if you are here, so let’s chat!

Location: St. Julian's, Malta; Vilnius, Lithuania Join COLIBRIX ONE - Innovating the Future of Payments At COLIBRIX ONE* , we’re building advanced, AI-powered payment technologies that support Payment Service Providers (PSPs), Electronic Money Institutions (EMIs), and neobanks across the EU and the UK. As a fully licensed EMI (FCA reference number 927920) and a Principal Member of Mastercard, we offer real-world financial solutions that include: Global card processing Digital wallet infrastructure Cross-border merchant accounts Alternative payment methods (APMs) Corporate accounts for legal entities We’re a fast-growing team with a passion for innovation, security, and scalability. Our culture values curiosity, collaboration, and impact - and we’re looking for talented professionals who are ready to shape the future of fintech. At COLIBRIX ONE, your work directly powers the digital economy. If you're eager to solve meaningful challenges and build with purpose, we’d love to hear from you. About the Role We’re looking for a proactive, results-driven Sales Manager to help grow our Business Accounts product. You will manage the full B2B sales cycle, build relationships with corporate clients, and close deals in the European payments space, while representing the company in professional networks and industry events. We’re especially interested in candidates with experience in banking, EMIs, or payment institutions, working with corporate clients and business financial products such as IBAN accounts and SEPA/SWIFT payments. Responsibilities Identify and research target corporate clients across European markets Conduct high-volume cold outreach to prospective clients Attend industry conferences and networking events to generate and convert new B2B leads Qualify prospects and manage the full outbound sales cycle from first contact to deal closure Pitch products in meetings, events, and direct sales conversations Prepare tailored commercial proposals and negotiate deal terms Achieve sales KPIs and revenue targets through proactive outbound activity Transfer newly acquired clients to Account Management for onboarding and ongoing management Maintain accurate CRM records and pipeline tracking Gather market feedback and communicate insights to internal stakeholders Requirements Proven experience working with Business Accounts and corporate payment solutions (IBAN, SEPA/SWIFT, or equivalent) Experience in B2B sales within banking, EMI, or payments institutions Strong track record in outbound B2B sales and client acquisition Ability to independently build and manage a sales pipeline Strong negotiation and closing skills in a deal-driven environment Fluent Russian and English, additional languages are considered an advantage Willingness and ability to travel frequently across Europe Self-driven, proactive, and results-oriented mindset Benefits Opportunity to shape the future of fintech solutions within a growing company Collaborative, horizontal team structure that values your expertise and ideas Continuous learning and development opportunities to enhance your skills and career growth Competitive salary Online and offline social events provided by the company *Employment will be offered by Mellifera Kartiera Limited, registration number C107685, legal address: Villa Malitah, Mediterranean Street, The Village, St. Julians, STJ 1870, Malta, which is part of the group of companies operating under the COLIBRIX ONE brand. COLIBRIX ONE  is a brand representing a group of legal entities, including Mellifera Kartiera Limited, Colibrix Limited, and Mellifera Operations Limited. While this position is offered within Mellifera Kartiera Limited, the employer reserves the right to offer employment through another legal entity within the group.

Location: Munich; Neuss; Berlin Workplace: Hybrid ROLE HIGHLIGHTS: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forward Deployed Engineering - Working type: Hybrid (On-site at customer locations approx. 50% of time) - German security clearance (Sicherheitsüberprüfung Ü1/Ü2/Ü3) - Must be eligible and able to attain relevant national and NATO security clearances - Must be based in-country and native level speaker of the country you're deploying to. THE MISSION OF THE FORWARD DEPLOYED AI ENGINEER In this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You’ll deploy ICEYE’s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it—everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. DAY TO DAY RESPONSIBILITIES: PLATFORM DEPLOYMENT & INTEGRATION - Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers). - Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters. - Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools. - Troubleshoot deployment issues in disconnected environments without external internet access. AI SOLUTION DEVELOPMENT & CUSTOMIZATION - Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis. - Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks. - Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language. - Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources. DATA FUSION & INTELLIGENCE WORKFLOWS - Build data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT). - Develop automated workflows that correlate and cross-reference information across different data modalities. - Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs. CUSTOMER ENGAGEMENT & RAPID PROTOTYPING - Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems. - Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements. - Conduct hands-on training sessions on platform capabilities and AI workflow usage. - Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams. WHAT WE ARE LOOKING FOR MUST HAVE SKILLS: - 3+ years hands-on software engineering building and deploying production systems. - Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust. - Hands-on experience with LLMs, prompt engineering, and RAG systems. - Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases. - Experience with Docker and deploying in secure / isolated / air-gapped environments. - Practical experience with APIs, data pipelines, and integrating systems in production, - Familiarity with Linux and basic Kubernetes operations. - Builder mindset: ship fast, iterate with feedback, and prioritize working solutions over perfect architecture. - Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators. - Strong spoken and written English, able to explain technical concepts to non-technical stakeholders. - Willingness to travel 40–60% to customer sites within the region. NICE TO HAVE SKILLS: - Experience in defense, intelligence, or government operational environments. - Deploying to on-prem data centers and/or air-gapped networks. - Familiarity with geospatial data, satellite imagery, or remote sensing. - Experience with MCP integrations, multi-agent systems, or agentic workflows. - Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD. - Understanding of intelligence analysis workflows and defense/government requirements. - Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS). - Background in solution engineering, technical consulting, or customer success. - Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups). APPLICATION PROCESS - Talent Acquisition Interview - Take home task - Hiring Manager Interview - Hiring Team Interview - Offer Decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com https://www.iceye.com

Location: Warszawa, Poland; Almaty, Kazakhstan; Prague, Czechia; Tallinn, Estonia; Tbilisi, Georgia; Budapest, Hungary; Rīga, Latvia; Vilnius, Lithuania; Lisboa, Portugal; Bucharest, Romania; Madrid, Spain Workplace: fully Customer Description: The customer is a global mobility and urban services platform providing transportation and other on-demand services through a digital marketplace. Project Description: The work spans deep learning model development, large-scale geospatial data pipelines, and low-latency production serving. The candidate will measure the impact through offline evaluation metrics and the results of online experiments Project Phase: ongoing Soft Skills: • Ability to influence teammates and cross-functional stakeholders effectively. • Curious and improvement-oriented mindset with a willingness to challenge existing approaches. • Excellent ability to communicate complex technical findings in a clear and concise manner. Hard Skills / Must Have: • 5+ years of machine learning engineering experience building and deploying deep learning models in production. • Experience building regression, forecasting, or other supervised machine learning systems for production prediction tasks. • Expert-level proficiency in Python and its core data science libraries (e.g., PySpark, Pandas, NumPy, Scikit-learn, PyTorch; gradient-boosting libraries such as CatBoost/XGBoost/LightGBM). • SQL. • Ability to design an ML system from scratch, including data analysis and processing. • Experience translating business goals into ML problems with appropriate metrics and non-functional requirements. • Experience designing and evaluating ML experiments. • Experience with MLOps tools. • Experience working with large-scale geospatial and behavioral datasets. • Experience deploying models to production on ML serving infrastructure and optimizing for latency, and awareness of concept drift and how to detect and manage it. • Comfort working with large-scale geospatial and behavioral data (e.g., GPS traces, H3 spatial indexing) Hard Skills / Nice to Have (Optional): • Academic background in Computer Science, Mathematics, or a related discipline. • Experience with travel time prediction, traffic estimation, or routing quality. • Experience with open-source routing engines. • Knowledge of map matching, speed profiles, road graph tiles, and historical traffic. • Experience with mapping, location, or geospatial products. • Experience building products for developing markets. • Experience with cloud data and machine learning platforms. Responsibilities and Tasks: • Design and build machine learning models to improve routing and travel time prediction. • Develop traffic estimation models using large-scale GPS data. • Implement map-matching solutions for noisy GPS data. • Improve travel time calculation, smoothing, and rerouting logic. • Translate routing objectives into machine learning objectives and evaluation metrics. • Lead offline and online model evaluation activities. • Collaborate with backend engineers to deploy low-latency production models. • Partner with product and operations teams to define new features and requirements. • Own the production ML lifecycle, including serving, monitoring, drift detection, and retraining pipelines. 🧪 Technology Stack: }Python, SQL, PySpark, Pandas, NumPy, Scikit-learn, PyTorch, XGBoost, LightGBM, CatBoost, MLOps, ML Lifecycle Management, Production ML Systems, ML Infrastructure, Geospatial Analytics, GPS Data, H3 Spatial Indexing 📝 Additional notes: The work will be carried out either on client's equipment or via a virtual workstation. Requires fluent Russian , as part of the team communication is conducted in Russian

Location: London, England, United Kingdom About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role London is Wheely's largest market and our strategic priority: we're doubling down on it. As General Manager, you'll own a business approaching $100M in annual gross bookings/revenue, with over 1,200 chauffeurs and four teams reporting to you. You'll work directly with our CEO/Founder and executive team: close enough to move fast, with the backing to make decisions that matter. This is a 24/7 operation serving demanding customers. It requires intensity, commitment, and genuine passion for getting things right. Responsibilities P&L responsibility for London The offline product: pricing, availability and fleet composition Lead Driver Operations, Quality & Training (our Chauffeur Academy) and Marketing teams Drive operational performance and business growth, ensuring the right balance of supply, demand and service quality Collaboration with central Product team on the passenger and chauffeur experience Regulatory strategy: navigating London's complex licensing environment External representation: press, partnerships and key stakeholder engagement. Requirements Bachelor's or Master's degree in STEM or Economics from a leading university Minimum 7+ years of total experience, with 5+ years in investment banking, strategy consulting, or high-growth tech Excellent leadership and team management skills Strong analytical / problem solving skills Based in Central London What We Offer Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice Competitive salary Employee stock options plan Private medical and dental insurance Life and critical illness cover Best-in-class equipment Monthly credit towards Wheely journeys Cycle to Work scheme Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: New York City, NY 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 Claude serves millions of individual users alongside enterprise clients. Safeguards Engineering develops the foundational infrastructure that ensures its safe use: robust access controls, active abuse detection, real-time probes and classifiers within the inference pipeline, offline monitoring for review, and the underlying systems powering it all. Operating at scale and velocity, we continuously adapt to technology whose capabilities and risks evolve weekly. The Safeguards Data team owns the data lifecycle for Safeguards—routing user data and safety metadata from online systems into offline storage and enabling access for downstream teams. Our goal is to provide privacy-safe access to sensitive data for approved uses while ensuring performance, reliability, and minimal blast radius. We prioritize security by design, embedding controls directly into systems operating across AWS, GCP, Azure, and customer-managed environments. This is a systems engineering position within a small, newly established team. Rather than managing an existing backlog, you will have the autonomy to own a problem domain, establish its technical vision, and shape the team's trajectory. Key responsibilities Design, build, and operate the stores, pipelines, schemas, and APIs that Safeguards' detection, evaluation, investigation, and review systems read from. Build privacy-safe interfaces that allow ML training, evaluation, and investigation workflows to utilize sensitive data without requiring broad access to raw records, ensuring access is tied to purpose and built-in lineage. Scale the distributed storage, ingestion, and processing systems operated by Safeguards, maintaining cost efficiency, reliability, and portability across deployment environments. Collaborate with investigators, researchers, legal, privacy, and security teams to translate operational requirements into functional mechanisms and systems for safe data utilization. Uphold a high operational bar by participating in the on-call rotation, leading incident reviews, and continuously reducing manual operational overhead. Lead through technical design by authoring foundational proposals and conducting cross-team architectural reviews. Minimum qualifications Have strong systems fundamentals (processes, threads, RPC, storage, and how systems fail) and have built and operated large-scale, fault-tolerant distributed systems Have built and operated systems that handle sensitive or high-value data, with access, privacy, retention and security controls designed in from the start Have a track record of building platforms or internal tooling that other teams widely adopt Have led the technical design of projects that span several engineers or teams Learn quickly and adapt: you're comfortable with ambiguity, a fast pace, and systems or languages you haven't used before Care about the impact of your work and about making AI safe, use good judgment about what matters most, and can explain technical trade-offs to non-technical partners Preferred qualifications Proficiency in one or more systems languages (e.g., C, C++, Rust, Go) 8+ years of experience as a software engineer, and a Bachelor's degree in Computer Science, Software Engineering or comparable professional experience Experience building data infrastructure for ML: training datasets, offline batch inference or evaluation Experience with data governance requirements in a regulated or high-sensitivity domain Fluency with agentic coding tools such as Claude Code The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Lisbon Workplace: Hybrid Build with us Businesses deserve better from finance. Less friction, more freedom. Since 2004, Mollie has been on a mission to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies trust our all-in-one platform to get paid, manage money and grow on their terms. Simple, scalable and built with real businesses in mind. We're one of Europe's fastest-growing fintechs, with 900+ Mollies across 12+ locations. Our people make this growth possible. We move fast, build with purpose and care deeply about our customers. Whether you're solving problems, building market-leading products or exploring how AI can make work smarter, you'll have the freedom to create and the trust to deliver. If you're ready to grow, shape the future of fintech and join an ambitious, high-performing team, this is the place for you. Your impact This is a critical, customer-obsessed role at the frontline of Mollie's mission. You'll be the first point of contact for our merchants, ensuring they get the excellent support they need to succeed and grow. Your impact is immediate: you help make our customers proud to work with us by providing outstanding, proactive service. You'll do more than just answer questions - you'll be the voice of the customer, using their feedback to drive real, innovative changes within Mollie. This role is about listening, solving problems fast, and making a direct contribution to the customer experience. Join a new and growing team in Lisbon to own the success of our growing merchant base. What you'll ship - Act as the first point of contact across live chat, email, and phone to resolve customer inquiries quickly and effectively. - Proactively advise customers on Mollie products that fit their activities and help boost their online and offline presence and revenue. - Contribute to improving the customer experience by providing actionable feedback and proposing innovative solutions to internal teams. - Listen closely to customer feedback and challenges to align our support efforts with Mollie's mission of being customer-obsessed. What you'll bring - Fluent in German and English. Any other language is nice to have. - At least 1 year of experience in (customer) support - Ability to easily adapt to changing environments and quickly grasp new information and processes. - A fast learner who can take on complex problems and rapidly find solutions. - An easy communicator with a knack for clarifying complex topics and maintaining a human connection. - Nice to have: beginner to experienced professional—what matters is your drive to deliver impact for our customers. Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below. Want a peek behind the scenes? Check out what life at Mollie https://jobs.mollie.com/ is really like. AI at Mollie We believe in Always Be Shipping, and AI brings https://jobs.mollie.com/ai-manifesto that philosophy to life across every team, every role, every day AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior or Staff Reinforcement Learning Engineer to develop learning-based control policies for humanoid robots. You will design and train reinforcement learning policies that enable dynamic locomotion and loco-manipulation behaviors on real robots. Your work will focus on building scalable training pipelines, designing reward functions and environments, and improving sim-to-real transfer for reliable deployment on hardware. You will work closely with controls and robotics engineers to integrate learned policies into the robot control stack, ensuring stable and robust behavior in real-world conditions. Development will involve continuous iteration between large-scale simulation and hardware experiments. The problems you will work on include dynamic locomotion, balance recovery, contact-rich manipulation, and multi-behavior policy learning. WHAT YOU’LL DO - Design and train reinforcement learning policies for humanoid robot control. - Build scalable simulation and training pipelines (e.g., Isaac Lab, MuJoCo). - Design reward functions, observation spaces, and curricula for complex behaviors. - Improve robustness and sim-to-real transfer of learned policies. - Deploy and evaluate policies on real robotic systems. - Integrate policies into the control stack. WHAT WE'RE LOOKING FOR - MS or PhD in Robotics, Machine Learning, Computer Science, or related field. - Strong experience with reinforcement learning (e.g., PPO, SAC, offline RL). - Experience applying RL to robotics or physical systems. - Experience deploying learned policies on real robotic systems. - Experience with physics-based simulation environments (e.g., Isaac Lab, MuJoCo). - Strong programming skills in Python and/or C++. NICE TO HAVE: - Experience with RL for locomotion or legged robots. - Experience with sim-to-real transfer. - Familiarity with robot dynamics, control, or whole-body control. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Brussels; Rome; Zug; Porto; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Lisbon; Tallinn; London OR Brussels; Rotterdam; Krakow; Zagreb SENIOR RUST ENGINEER - HIGH FREQUENCY TRADING (HFT) ABOUT KEYROCK Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. MISSION STATEMENT We are seeking a Senior Rust Engineer with deep trading systems experience and strong AWS knowledge to join our core Capital Markets division. Candidates with a passion for the Rust ecosystem and a proven track record designing, building, and operating mission-critical trading systems will be at a significant advantage. As part of the engineering team in Capital Markets, you will take ownership of high-impact trading infrastructure, set technical direction in your domain, and drive continuous improvement in system performance, reliability, and operability. You will join a highly-profitable, fast-paced division within Keyrock, where you will be expected to make a senior individual-contributor impact while collaborating with a global, fully-remote team. This role is open to candidates located in European time zones. JOB DESCRIPTION - Design, develop, and optimise low-latency, mission-critical trading systems - Own key trading stack components end-to-end — from architecture through to production operation - Collaborate closely with quants, traders, and engineers to deliver solutions that improve trading performance and resilience - Maintain and evolve trading infrastructure with a focus on performance, stability, observability, and operational excellence - Troubleshoot complex production issues across exchange connectivity, execution, and market data handling - Drive engineering standards through technical leadership, code reviews, and mentoring - Embrace agentic engineering principles: leverage AI-assisted workflows, drive automation of operational tasks, and help evolve the team's agentic tooling - Contribute to functional, component, and production-readiness testing for critical trading components BACKGROUND AND EXPERIENCE TECHNICAL SKILLS - Production-grade Rust experience building high-performance, concurrent systems; proficiency with Tokio is a strong advantage - Hands-on experience in a systematic trading environment (HFT, Market Making, Quantitative Trading, or similar), with solid understanding of execution, market data, and operational risk - Strong AWS and Linux expertise, including cloud infrastructure trade-offs for latency-sensitive workloads, shell scripting, debugging, and production troubleshooting - Proficiency in Python or other scripting languages for strategy development, automation, and operational tooling - Deep familiarity with trading system protocols (FIX, REST, WebSocket), exchange connectivity, and market data feeds - Solid grasp of low-latency networking: TCP/UDP, packet and latency path analysis, dedicated network infrastructure, and kernel bypass techniques (DPDK) - Familiarity with agentic engineering tools and concepts: LLMs, MCP APIs, AI-First IDEs (e.g. Cursor, Claude Code), harness engineering, and workflow automation - Ability to make sound architectural decisions, articulate trade-offs clearly, and guide implementation across complex systems SENIORITY & COMPETENCIES - Ownership & Reliability – Take full responsibility for your work. Deliver high-quality service, meet deadlines, and follow through on commitments. Anticipate and proactively address potential issues before they arise. - Initiative & Problem-Solving – Approach challenges with a problem-solving entrepreneurial mindset. Make sound, independent judgments and take the initiative to drive solutions rather than waiting for instructions. - Operational Diligence – Respond strategically to technical and operational challenges, ensuring robust and reliable trading infrastructure while instilling confidence in the team’s processes. - Technical Leadership – Influence system design, raise engineering standards, mentor other engineers, and help the team make pragmatic, high-quality technical decisions. - Curiosity & Growth Mindset – Continuously seek to improve your technical skills and knowledge. Stay ahead of industry trends and take the initiative to practice and explore new technologies that excite you. - Agentic Engineering – Embrace AI-assisted workflows and autonomous agents, pushing the boundaries of what engineering teams can achieve through intelligent automation. - Excellent Communication Skills with a team player mindset, collaborating within a fully remote global team. OUR RECRUITMENT PHILOSOPHY We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A senior engineer and crypto enthusiast who’s driven, collaborative, acts with ownership, raises the bar for others, and delivers solid, scalable outcomes. OUR OFFER - A competitive salary package - Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely - The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: The Product Infrastructure team works on creating abstractions and data models that solve enduring problems across the stack. We solve problems that span multiple product surfaces and typically stretch across both front-end and backend and unblock new product avenues that were previously challenging to create. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Shape and build the core frameworks that enable reading and writing data in Notion, integrating feedback from internal customers along the way, using whatever tools are required for the job, such as AWS, Postgres, NodeJS, TypeScript, React on the frontend. - Design new systems and abstractions that improve developer productivity, reliability, and performance by handling entire classes of problems up-front for product engineers. - Solve hard technical challenges such as designing abstractions for efficient traversal of the user content graph, building a system to sync user content for offline use, or scaling our permission model to serve large customers with complex content. SKILLS YOU'LL NEED TO BRING: - Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution. - Pragmatic and business-oriented: You care about business impact and prioritize projects accordingly. You're not just going after cool stuff—you understand the balance between craft, speed, and the bottom line. - Strive for simplicity: You think critically about the implications of what you're building, and aim for the most simple and well-crafted design. You understand the consequence of complexity, and are motivated to eliminate them. - Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go. - Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. - Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. NICE TO HAVES: - You have leveraged the features of typed languages (e.g. TypeScript, Flow) to drive code migrations, or have implemented your own data modeling paradigms (e.g. writing your own ORM, sync engine, or query language). - You have seen how fundamental abstractions scale within a large codebase, and are curious about how different organizations solve similar problems (e.g. TAO by Meta, Zanzibar by Google). - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. - You have interests outside of technology, such as in art, history, or social sciences. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $150,000 - $200,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.