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Location: Denmark; Germany; Poland; Praha, Prague, Czech Republic Who we are We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account. We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want. Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders. Our culture Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it. That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones. About the Role Client Services Manager sets the standard for exceptional client experiences. This role blends hands-on leadership with operational excellence—driving performance, streamlining processes, and building a high-performing team. You’ll lead by example, inspire your team to exceed expectations, and continuously improve service delivery, all while fostering a collaborative, client-first culture. Reporting line : Head of Client Services Location: Remote Responsibilities Lead, mentor and develop a team of client service associates - set clear expectations, give honest feedback, and run regular reviews that actually help people level up Own team workload, coverage and cross-functional collaboration so every client gets a fast, meaningful answer Build a culture of accountability, continuous improvement and client-first thinking. Set the standard by living it yourself Define & refine service standards, processes, and playbooks, making sure they’re followed in practice, not just on paper Play a key role in incident management, ensuring issues are brought to light swiftly Convert the queue to actionable insights, identifying trends and patterns to address Work closely with Service Design on system optimisation and client experience Qualifications 3+ years of experience in prime brokerage or similar financial markets exposure A proven track record of leading, coaching and developing people, managing performance and running a service team day to day Excellent communication and relationship management skills. You build trust quickly, with clients and colleagues alike Strong problem-solving skills & ability to coordinate multiple stakeholders towards a fast resolution High attention to detail and a strong control & risk mindset What we offer* A competitive salary that reflects what you bring Fully remote - enjoy the freedom to work from anywhere Corporate Macbook Top-tier tech stack: Claude Code, in-house app building platform, Gemini Enterprise Innovative & inspiring culture, autonomous and informal work environment Extended benefits: choose from: Health insurance/extra annual leave/wellbeing program Ongoing education & training programs Opportunity to network and connect at Corporate Events Team off-sites and paid business trips when needed Global career opportunities *Benefits/perks vary depending on the nature of your employment with the company and the country where you work EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/. 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Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE Halter is flipping the livestock world on its head. We're scaling fast across NZ, Aus, and the US, lining up multiple new international markets, and the stakes are high. We are looking for a Senior Hardware Test Engineer to be a technical cornerstone of our Test Engineering pillar within the broader Product Reliability Function. Our collar is tough and built for the beating it takes day in and day out on a farm, but it can always be tougher. We've iterated it to this point and learnt many tough lessons along the way. We need someone who can design and execute automated tests across 100's of samples, that turn assumptions into evidence; someone who brings rigour, creativity, and speed to every challenge they take on. Our devices face demanding field conditions at incredible scale. We'll be the first virtual fencing company ever with 1 million devices live, and with some customers deploying thousands of units per herd, our testing must be comprehensive, automated and traceable back to product requirements on top of accounting for every edge case to guarantee reliability. Hardware is only getting more important strategically for Halter, and you'll be right at the core, making that happen. It's a rare opportunity to accelerate your career with unique and valuable experience in a high-performance, fast-paced environment where product reliability matters most and test automation, repeatability and traceability are your tools. This role reports to our Hardware Test Engineering Manager and sits within the Product Reliability Function. You'll be the person who owns the test strategy and test infrastructure, builds the tests, builds the rigs, analyses the data, and delivers the evidence that drives confident product decisions. WHAT YOU'LL OWN Your work produces the evidence that decides whether we ship, whether we hold, and what we fix next. You'll operate with a high degree of autonomy across test design, execution, and infrastructure. Design, build, and run tests that matter: - Own and execute the test automation strategy and overarching infrastructure (likely in Python or Teststand) - Design and execute environmental, reliability, verification and validations tests across electromechanical sub-systems and full product assemblies: HALT, UV exposure, tumble, impact, thermal cycling, ingress, and more. - Own tests end-to-end: from interpreting product requirements and writing test plans through to execution, analysis, and delivering clear pass/fail evidence. - Identify gaps in requirements or test coverage and propose new methods or approaches to close them. Build and maintain test infrastructure: - Design and build bespoke test rigs, fixtures, and automation that makes testing faster, more repeatable, more reproducible and less manual. - Own, maintain and integrate environmental chambers, DAQ systems, RF systems and other equipment into the test automation infrastructure, ensuring the infrastructure is always calibrated and up to a high standard. - Continuously raise the bar on test and data throughput without compromising evidential quality or repeatability. Deliver decision-grade data: - Ensure every test produces data that is trustworthy, traceable, and actionable—not just raw numbers, but clear evidence that links back to requirements or risks that engineering leadership can rely on for go/no-go decisions. - Maintain strong test governance practices: calibration records, equipment versioning, code versioning, procedure versioning, and full traceability. - Present findings clearly to cross-functional stakeholders, turning complex results into crisp recommendations. Collaborate across engineering: - Partner closely with Reliability Engineering, Hardware Design, Firmware, and Production to ensure quality testing approaches are embedded early in the development cycle, not bolted on at the end. - Work with Reliability Engineers to translate reliability requirements and product requirements into robust, efficient and scaleable test plans. - Contribute to a culture of evidence over opinions—where "reliable" and "quality" means "proven," NOT "seems fine." WHAT SUCCESS LOOKS LIKE - Tests you design and run are repeatable, well-documented, and trusted across the organisation. - Your evidence directly enables Halter to ship with confidence, driven by data rather than hope. - Test infrastructure you build scales with the team—others can pick up your rigs, procedures, and methods and run with them. - Reliability and Quality improves with every release, and your work is a key reason why. WHAT WE'RE LOOKING FOR You're a hands-on engineer who builds things that work - Significant experience in hardware test engineering or validation in high-reliability environments (IoT, ruggedised consumer electronics, automotive, aerospace, industrial, robotics, or similar). - You've designed and run environmental and reliability tests, and you understand the science behind the stress methods, not just the procedures. You know the tools and the reality - Strong experience at building a scalable and automated test infrastructure - Strong experience with environmental testing, accelerated life testing, and reliability stress methods such as HALT/UV/Tumble/Impact etc. - Proven ability to design and build bespoke test jigs, fixtures, instrumentation, DAQ systems, and automation. - Solid calibration discipline and an instinct for where precision matters versus where "good enough" is actually good enough. - Comfortable with data analysis, automate reporting and able to draw clear conclusions and value from test results. You operate with ownership and clarity - You take end-to-end ownership of your work and hold yourself to a high standard. - You communicate clearly—your test reports, presentations, and recommendations are easy to act on. - You thrive in cross-functional environments and collaborate with high standards and low ego. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Australia_Melbour_Office Verra Mobility is a global road safety technology business partnering with governments, enforcement agencies and municipalities across Asia Pacific, Europe and the United States. We deliver technology-enabled road safety programs, including red-light, speed, school zone and school bus stop-arm camera solutions. Our work helps influence the everyday choices drivers make, so fewer people are hurt on our roads, and more families see their loved ones come home safely. We are seeking a Technical Product Manager to help drive AI-enabled product delivery across our road safety technology portfolio. This is a hands-on role at the intersection of product, engineering, customers and AI-enabled workflows. Using tools such as Atlas Cloud, Jira, Confluence, Claude Code, Microsoft 365, Power Automate and MCP-enabled workflows, you will turn complex information into clear requirements, delivery priorities and product decisions. You do not need to be a software engineer, but you must be technically literate, confident working with engineering teams and comfortable challenging decisions where design, quality or customer outcomes are at risk. This is a permanent, full-time hybrid role, working from home and our head office in South Melbourne. What you will do Own product outcomes across one or more customer-facing programs. Translate customer, operational and technical needs into clear PRDs, Jira backlog items and decision records. Use AI-enabled workflows for requirements synthesis, document analysis, status reporting and specification development. Work with engineering teams on architecture, integration, security, compliance and delivery decisions. Maintain visibility across scope, risks, dependencies, quality and outcome drift across customer programs. Prepare clear executive, customer-facing and technical documentation. Identify opportunities to reduce manual work through better process design and AI-enabled workflows. What you will bring Experience in technical product management, product ownership, senior business analysis or technology delivery. Strong technical literacy across architecture diagrams, API specifications, compliance frameworks and vendor proposals. Confidence working with engineering teams on software, data, integration, security and delivery decisions. Familiarity with AI workflows, command-line tools or platforms such as Atlas Cloud, Claude Code, Power Automate or MCP-enabled tools. Proficiency with Jira, Confluence and Microsoft 365. Strong written communication across PRDs, requirements, executive updates and decision records. Ability to apply constraint-led prioritisation, turning ambiguity into clear priorities, actions and outcomes. An ownership mindset, with the judgement to challenge constructively, close decision gaps and follow issues through. Customer-facing experience in enterprise, government, regulated industry, road safety, SaaS or systems integration environments would be highly regarded. Who are you? You are a technically curious product professional with a bachelor’s degree in product, technology, business, systems, data, engineering or a related discipline, and 5+ years’ experience across technical product management, product ownership, senior business analysis, technology delivery or a related role. Software engineering experience is not required, but strong technical literacy is essential. Why work with us? Join a global road safety technology business working on solutions that help make roads safer and communities better protected. You will be part of a practical AI-enabled product model, with real scope to shape how technical product work is documented, prioritised and delivered. To apply, click below, submit your resume and a cover letter detailing your suitability for the role. We look forward to your application! We value the unique backgrounds, experiences and contributions that each person brings to our community and encourage and celebrate diversity. First Nations people, those identifying as LGBTQIA+, females, people of all ages, people with disabilities and culturally and linguistically diverse people are encouraged to apply. Our aim is to create a workforce that reflects the community in which we live. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Location: New York Office Workplace: Hybrid ABOUT TAKTILE Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions — approving more customers, reimbursing claims instantly, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, London, Berlin, São Paulo, and Iași, the company has raised $189M from Goldman Sachs Growth Equity, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com. ABOUT THE ROLE We're building a marketing function that earns attention. Earlier this year, we placed a lobster on Wall Street that got more people talking than any ad we could have run - and that's exactly the kind of thinking we want more of. We're looking for a Senior Field & Executive Marketing Manager who has the creative instincts to dream up what Taktile's next memorable moment looks like, the project management discipline to make it happen, and the analytical rigour to measure what works and what does not. This is not a logistics role. We work with world-class events vendors that handles logistics execution. Your job is to own the vision and strategy, design experiences worth talking about, and make sure every event moves the business forward. You'll report directly to our VP of Marketing and work closely with enterprise sales, partnerships, and senior leadership. WHAT YOU'LL DO Shape the events strategy and experience - Define where Taktile shows up and what we do when we get there - from our presence at Money20/20 and Fintech Meetup to intimate executive dinners and owned flagship moments - Bring creative ideas on how to make Taktile unforgettable: what's the concept, the surprise, the thing attendees tell their colleagues about the next morning - Track and report on pipeline influenced, opportunities sourced, and deal acceleration attributable to field programs - and use this to influence strategy and focus Own the executive roundtable program - Design and build Taktile’s executive event program, incl. theme development, attendee curation, agenda design, facilitation, and post-event follow-through - Own pre-event account selection and post-event follow-up playbooks; brief AEs and BDRs on converting event engagement into qualified pipeline - Partner with enterprise sales to design account-based field programs (e.g., dinners, targeted activations) that engage priority accounts and accelerate deals in motion Project-manage every moving part - Own the field marketing budget end-to-end, allocating across programs and ensuring strong ROI on every dollar - Work with external agencies, production vendors, and event venues - Build scalable processes and playbooks that allow the events program to grow - Coordinate internal stakeholders, external vendors, agencies, and speakers to deliver flawlessly on time and on budget WHAT YOU'LL NEED - 3–5 years of relevant experience: in marketing, events, creative project management, or a related field — exceptional matters more than years on paper - Creative instincts and taste: you know what a remarkable event feels like and you're not afraid to pitch a bold idea - Project management discipline: you run multiple workstreams simultaneously without dropping balls, even under pressure, and you build systems so nothing falls through the cracks - Executive presence: you're comfortable in a room with a VP of Ops or Head of Commercial Banking — whether recruiting them to a roundtable or representing Taktile - Strong communication: you can write a compelling invite, brief a vendor, and present a program to leadership with equal confidence - Pipeline obsession: you track what every event produces — opportunities sourced, deals accelerated, pipeline influenced — and use that data to make sharper bets next time. You're not satisfied with a "great event" unless it moved the business - Curiosity about the space: you're genuinely interested in financial services and AI What We Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Make an impact and meaningfully shape an early-stage company. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com

Location: Paris; London Workplace: Hybrid TL;DR: Multimodal ML Engineer to train and ship vision, audio, video, and speech models for an AI safety platform handling 100M+ API calls/month. About us White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need. You will - Train and fine-tune large-scale multimodal models (vision-language, audio, speech) from scratch and from pretrained checkpoints - Extend models across modalities: image understanding, video temporal modeling, long-context processing, and streaming audio - Design and run experiments: architecture changes, data mixes, training recipes - Build and maintain multimodal data pipelines — from raw images, video, and audio recordings to training-ready datasets, including synthetic data generation - Train and optimize MoE architectures for efficient multimodal inference - Build alignment pipelines: SFT, DPO, GRPO, reward modeling — across modalities, not just text - Optimize models for production: quantization, distillation, batching, streaming and low-latency serving - Deploy models end-to-end: from research checkpoint to production serving - Define evaluation metrics and benchmarks that actually matter for the product: visual QA, spatial reasoning, video comprehension, speech and audio understanding You’ll fit right in if you - 3+ years training large-scale deep learning models in multimodal domains (vision-language, audio, speech, or acoustic) - Strong PyTorch skills with hands-on distributed training experience (DeepSpeed, FSDP, or similar) - Deep experience with multimodal architectures — you understand how vision/audio encoders, projectors, and LLMs fit together (LLaVA, Qwen-VL, InternVL, Audio Flamingo, Omni Qwen, Audio Qwen, Whisper, HuBERT, Conformer, or similar) - Hands-on with RLHF/alignment for multimodal: GRPO, DPO, reward modelling — not just for text - Experience with video and/or audio sequence modelling: temporal modelling, long-context processing, efficient attention, streaming inference - Track record of shipping models to production: you've hit latency targets and optimized inference, not just reported benchmark scores - Comfortable with large-scale multimodal dataset curation: image-text pairs, video-instruction data, audio preprocessing, augmentation, synthetic data generation - Familiar with MoE architectures and their trade-offs for multimodal workloads - Strong engineering fundamentals: clean code, version control, testing, documentation A big plus - Understanding of audio signal processing fundamentals (spectrograms, mel features, noise reduction) Why White Circle - Competitive compensation package, including equity - Flexible time off - Paid time off in line with your local regulations, no matter where you work from - Work from Paris or London (hybrid) + relocation package for Paris - Best medical insurance in France - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, tools, and services you need - Covered subscriptions for AI agents and IDEs - Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez   Process 1. Introductory call with HR (25 min) 2. Take-home test assignment 3. Technical interview with Head of Applied Research (60 min) 4. Final conversation with CEO (45 min)

Location: Paris; London Workplace: Hybrid TL;DR: We are looking for several ML Engineers to train, post-train, and evaluate the LLMs at the core of our platform. This is hands-on modern model training work: large-scale data pipelines, SFT/RLHF/DPO-style alignment, reward models, distributed multi-GPU training, and evaluation. About us White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.   What you’ll do - Turn petabytes of unstructured text into a structured, explorable view (topics, clusters, segments, trends, anomalies): iterate from “unknown unknowns” to stable definitions we can track. - Build scalable representation pipelines: sampling strategies, preprocessing/normalization, embeddings at scale, indexing, and retrieval to make the corpus searchable and analyzable. - Use LLMs pragmatically: labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of inbound volumes (with cost/quality controls). - Deliver insights that change decisions: translate findings into product and operational actions (what data we have, what’s missing, where quality breaks, what to prioritize next). - Ship self-serve analytics: datasets, data models, and lightweight tools/dashboards so the team can explore and answer questions without ad-hoc requests. - Partner closely with engineering/research: align pipelines with production constraints (latency/cost/privacy), and integrate outputs into workflows. You'll fit right in if you - Have strong Python + SQL with an engineering mindset: you can build reliable pipelines, not just notebooks. - Have solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them. - Are comfortable at scale: distributed processing, large-scale storage-querying, and performance-cost tradeoffs. - Know how to evaluate fuzzy problems: offline/online metrics, human-in-the-loop labelling, inter-annotator agreement, drift monitoring, and reproducibility. - Have prior work with safety/moderation datasets, policy/rule systems, or high-volume logging/observability A big plus - A public builder footprint: open-source models, datasets, or training frameworks on HuggingFace/GitHub, benchmarks, papers (workshop or main conference), or technical posts with real usage - Experience training models at a frontier or near-frontier lab, or leading open-source model releases with documented adoption - Experience with RL methods for LLMs beyond standard RLHF: online RL, GRPO-style methods, or novel alignment approaches - Experience with moderation, safety, or classification models at scale - Multilingual model training experience Compensation & benefits - Competitive compensation, including equity - Flexible time off - Office in central London/Paris with flexible hybrid setup - Relocation support if you’re moving to Paris, available after your probationary period - Premium private health insurance - Mental health support, including coverage for therapy when you need it - Lunch and dinner covered when you work from the office - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella Process 1. Intro call with Talent Team 2. Test assignment 3. Technical interview with Head of Applied Research 4. Final conversation with CEO

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity We are seeking a Marketing Analytics Director to lead the evolution of our marketing data stack and raise the analytical rigor of the entire marketing organization. This is a critical role for a builder-practitioner who works at the intersection of Data Science, Marketing Strategy, GTM, and AI Operations. You won't just report on the funnel. You will build the systems that make every analyst on this team sharper, including the AI agents themselves. As the Marketing Analytics Director , you will be the lead architect of our data-driven growth engine, connecting high-level strategy with advanced technical execution. You will move beyond traditional reporting to build a self-sustaining marketing ecosystem, leveraging Google BigQuery, Grafana, and agentic AI to create a unified source of truth and a culture of analytical rigor. Your mandate is to move the needle on demand generation across the entire marketing funnel, while raising the standard for how analytical work gets produced, challenged, and shipped across the org. You will architect a dual-track target-setting framework that balances high-velocity top-of-funnel growth with deep-funnel quality, ensuring GTM resources are directed toward high-converting user cohorts optimized for Grafana adoption and long-term retention. You will be expected to engineer the underlying data schemas, design predictive models, and implement the BI frameworks that shape our global GTM strategy. We are looking for a technical expert who can translate complex data into clear executive-level direction and who proactively builds systems that prevent AI-generated noise from drowning out actual signals. What You'll Be Doing Strategic GTM Partnership: Serve as the primary strategic partner to the GTM Leadership team (VP of Demand Gen, VP of Regional and Events, Head of Marketing Ops, CMO, Revenue Operations, Sales leadership and more), translating complex data into a clear roadmap for demand generation and revenue growth. Dual-Track Target Setting: Architect and own a sophisticated forecasting framework that balances top-of-funnel volume with high-intent lead quality, optimized for Grafana Cloud conversion and retention. Predictive Modeling and ROI: Develop and maintain machine learning models (Attribution, MMM, LTV) to predict campaign impact and steer budget allocation toward the highest-ROI channels. Data Warehouse Architecture: Oversee the structure of marketing data within Google BigQuery, ensuring a scalable single source of truth that connects product usage data with marketing touchpoints. Causal Inference and Inflection Hunting: Move beyond descriptive analytics to perform causal inference and predictive trend analysis. When the data shows an anomaly, whether a 3-month spike, a regional dip, or a campaign that overperformed, isolate the window and dig in. Executive Storytelling: Transform technical data outputs into clear, compelling narratives for the executive team and board. Deliver a succinct read and go deep where pushed. Utilizing AI and Automation Agentic Insights: Deploy LLM-powered agents (Claude Code, MCP-based tooling, or comparable) to monitor BigQuery datasets and automatically flag quality shifts in the funnel before they impact revenue. Autonomous Workflows: Implement orchestration patterns (N8N, custom MCP servers, or equivalent) to build self-healing data pipelines and automated responses to market signals, such as automated spend shifts based on conversion anomalies. Predictive Quality Scoring: Build and deploy AI-driven scoring models that separate high-value potential users from low-signal volume, helping Sales and Marketing prioritize effectively. What Makes You a Great Fit 8+ years in Marketing Analytics, GTM Strategy, or Data Science, with at least 2 years in a lead architect capacity (IC track or player-coach; people management not required) within a high-growth SaaS or PLG environment. Demonstrated history as a force multiplier. You can point to specific tooling, rituals, evaluator systems, or frameworks you built that made other analysts or the broader org measurably better. A portfolio of dashboards you personally produced is not sufficient. Data Science and Engineering: Mastery of SQL and Python required. Deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses. Hands-on AI fluency as a builder, not a user. You have built and shipped agentic systems with Claude Code, MCP, or comparable tools. You understand where LLMs fail and how to design around those limitations. You have built evaluator agents, prompt-grading systems, or analytical quality tooling in production. Automation Proficiency: Hands-on experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling. Visualization and BI: Advanced proficiency in modern data stack visualization tools (Grafana, Looker, Tableau) to build executive-grade dashboards. Strategic Acumen: Proven ability to create structure in highly ambiguous environments and build target-setting frameworks from scratch. MarTech Ecosystem: Deep familiarity with connectivity between Salesforce, marketing automation, and product-led data streams. Executive presence with experience presenting to executive and board audiences, including sound judgment about what data is and isn't ready to share up the chain. Bonus Points For Education: Bachelor's or Master's degree in a quantitative field (Data Science, CS, Statistics, Business Analytics). MBA or MS in Data Science is a significant plus. In the US, the OTE compensation range for this role is $ 178,503 - $ 214,203. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: London Workplace: Remote TL;DR: We’re looking for a GTM Engineer to automate low-value commercial work and build the systems that generate qualified pipeline at scale. You’ll own the GTM infrastructure end to end: design the data model, keep the CRM reliable, connect the stack, deploy AI agents, automate outbound and inbound workflows, and continuously improve how we acquire and retain customers. ABOUT WHITE CIRCLE White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re at a multi-million dollar run rate already having signed customers like Lovable and multiple neobanks. You’ll be joining at the most exciting time - early enough that the equity can be life changing but at a point where demand has been proven. We’re a small, highly focused team. If you want to work deeply on hard problems and build the category-defining company in AI safety - this role is for you! WHAT YOU’LL DO - Automate low-value work out of the commercial process so the Sales team can spend more time closing deals - Design and build the systems that power how we find, acquire, and retain customers (both outbound and inbound) - Own the CRM: you make sure our data is clean, structured, and reliable - Build internal tools, API integrations, and custom automation logic - Have real ownership & shape the playbook: what we build, use, how it fits together, and how it scales - Design and deploy AI agents across the GTM motion (e.g., account research, pre-call intelligence, personalised outreach, etc) - Wire it directly into our operational systems so it changes how the team works - Design the GTM data model (accounts, contacts and opportunities) - Build and manage data pipeline, enrichment and integrations across the stack - Build, ship and iterate fast YOU'LL FIT IN IF - 6+ years of experience in GTM engineering, technical RevOps, or a growth role where you were building automations and pipelines - Experience designing and scaling systems in a high-growth company - Hands-on with modern GTM tooling - Claude Code, Clay, Apollo, Instantly, n8n or similar - you've built multi-step enrichment and sequencing workflows, not just set up a table - Comfortable with Python or SQL well enough to work with data, call APIs, and build lightweight scoring or enrichment logic - Top-of-funnel focused - you know how to build systems that generate qualified pipeline at scale, from ICP definition through to booked meetings - Experience in programmatic SEO and AEO - Analytical and experimental mindset: proven ability to design tests, measure impact, and iterate quickly. - Proven AI deployment experience (e.g., automations, agents, workflows) WHAT SUCCESS LOOKS LIKE IN THE FIRST 6 MONTHS In your first six months, we would expect you to identify the highest-converting early segments, build a functioning outbound and follow-up engine, create clear messaging for one or two strong wedges, generate a meaningful pipeline of qualified conversations, and help convert early pilots or customers. Just as importantly, we would expect the company to understand its GTM motion far better because of your work. COMPENSATION & BENEFITS - Competitive compensation, including equity - Flexible time off - An office in central London, with a flexible hybrid setup - Mental health support, including coverage for therapy when you need it - Lunch and dinner covered when you work from the office - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella PROCESS 1. Intro call with Talent (30 min) 2. Take-home assignment 3. Interview with Head of Revenue & Data Engineer (60 min) 4. Final call with CEO & Head of Engineering (45 min)

Location: Remote, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the role The Global Alliance Lead is one of the most strategically important roles in our Ecosystem. You will own our relationship with one of the world's leading technology and transformation partners end-to-end — from C-suite engagement through to practitioner enablement and joint pipeline creation. You will be the architect of how the GSI and NewCo go to market together, ensuring our platform becomes the trusted data foundation inside the GSI’s agentic AI delivery practice globally. This is a senior individual contributor role reporting to the Global Head of GSI Relationships. You will orchestrate across sales, partner solution architecture, marketing, and partner operations — bringing the full weight of the organisation to bear on one of our highest-leverage commercial relationships. What You'll Do Relationship strategy and executive engagement Own the global GSI relationship at partner and C-suite level, building trusted relationships with Capgemini, practice and delivery team leads. Define and execute a multi-year joint strategy that positions dbt + Fivetran as the default open data infrastructure layer within the GSI’s enterprise AI and agentic workflow delivery Represent NewCo at GSI’s internal forums, client briefings, and industry events — articulating a compelling narrative around open data infrastructure and its relevance to the GSI’s strategy. Platform integration and practitioner adoption Drive adoption of the dbt + Fivetran platform within GSI delivery teams — ensuring practitioners, solution architects and practice leads are certified, confident, and actively recommending the platform in client engagements Work with GSI's practice leadership to embed NewCo's platform into their business groups, standard delivery architectures, RFP responses and client proposals — with particular focus on GSI's Data & AI practices Enablement and go-to-market Design and execute a frictionless enablement programme for GSI practitioners globally — certifications, reference architectures, use case playbooks, and joint delivery assets Partner with GSI's marketing and alliances teams to develop joint go-to-market campaigns anchored to open data infrastructure, trusted AI delivery, and closing the gap between AI POC and production Support GSI in building and positioning client-facing agentic AI value accelerators — with NewCo platform as the foundational data layer — the "NewCo inside" model Pipeline and opportunity development Source and develop new pipeline opportunities through the GSI relationship — identifying client situations where open data infrastructure creates measurable value. Drive co-sell motions alongside GSI account teams, ensuring NewCo is present and influential at the point of client opportunity Maintain a rigorous view of GSI-engaged pipeline — tracking opportunity sourcing, progression, and closed business attributed to the alliance Telemetry and performance Define and track the signals that indicate a healthy, high-performing GSI relationship: certifications, sourced opportunities, platform deployments, practitioner engagement, and joint wins Report regularly to the Global Head of GSI Relationships on alliance health, pipeline contribution, and strategic progress Identify risks and gaps in the relationship early and mobilise internal resources to address them What you will bring 15+ years of experience in strategic alliances, enterprise sales, or partner management within the data, cloud, or enterprise software industry Demonstrated experience managing complex, global relationships with major consulting firms or global system integrators at a senior level Deep understanding of the modern data stack and the business value of open data infrastructure — dbt, Fivetran, or equivalent experience strongly preferred Ability to engage credibly at C-suite and partner level within a global consulting organisation — understanding how GSIs make decisions, build practices, and go to market Strong commercial instincts — able to identify, thoroughly qualify and develop joint pipeline opportunities, not just manage existing relationships Track record of operating as a cross-functional orchestrator — influencing without direct authority across sales, engineering, marketing, and operations Exceptional communication and storytelling skills — able to translate technical platform capabilities into compelling business narratives for consulting and enterprise audiences Familiarity with AI, agentic workflows, and the data governance landscape is a strong advantage + strong knowledge of GSI's operating model and contacts within. Willingness to travel globally to engage GSI leadership and teams across regions What Success Looks Like in Year One A clearly defined joint strategy with GSI signed off at partner Executive level and on track to primary Global Strategic Practice. Material increase in GSI practitioner certifications and active platform deployments across Data & AI and Insights & Data practices GSI-sourced pipeline contributing measurably to NewCo's revenue At least two joint go-to-market campaigns live in the market delivering pipeline — anchored to GSI's agentic AI and trusted data agenda First client-facing agentic value accelerators built on NewCo platform delivered with GSI — positioning NewCo as the trusted data infrastructure inside GSI's AI delivery A telemetry framework in place tracking alliance health and pipeline influence Why This Role This is a rare opportunity to own a marquee relationship at a defining moment for both companies. GSI’s are publicly committing to capturing the full value of the agentic AI revolution for customers  — and the merged dbt + Fivetran platform is the trusted data infrastructure that makes AI production-ready. The person who builds this alliance well will sit at the intersection of the two most important forces in enterprise technology right now: the scale of a global systems integrator and the open infrastructure that makes AI trustworthy enough to deploy at scale. This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings. #LI-Remote OTE (On Target Earning) $249,816 — $302,000 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Dhahran, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia The Technical Engineering Clerk provides administrative and clerical support to the Department Head, ensuring efficient office operations, accurate documentation, coordination of schedules, and timely processing of administrative tasks. The role requires strong organizational, communication, and computer skills, with English proficiency as a mandatory requirement. Provide clerical and administrative support to the Department Head. Maintain timekeeping, filing systems, and employee records. Process leave requests, expense reimbursements, vendor payments, gate passes, and other administrative transactions. Prepare reports, letters, meeting minutes, and routine correspondence. Manage calendars, schedule meetings, appointments, and travel arrangements. Handle incoming calls, visitors, emails, and correspondence. Review, edit, and format documents as required. Maintain office supplies, office equipment, and administrative procedures. Coordinate communication between the Department Head, staff, and external stakeholders. Perform other administrative duties assigned by the Department Head. Requirements Diploma in Business Administration, Office Administration, Secretarial Studies, Accounting, Management Information Systems (MIS), or Marketing. 5–8 years of relevant administrative or clerical experience. Proficiency in English (mandatory). Proficiency in Microsoft Office applications. Strong organizational and time management skills. Excellent communication and interpersonal skills. Ability to maintain confidentiality and handle multiple tasks efficiently. Strong document management and administrative coordination skills.

Location: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. As Unlimit expands into new markets, each license we obtain connects us to that country's banking infrastructure — domestic clearing and direct interaction with other participants in the banking system. This role owns the integrations that bring those rails live: working hands-on with central banks, national clearing systems, and third-party BaaS providers.   You'll act as both project lead and solution engineer — running each integration with the regulator or provider and doing the technical implementation yourself. It's a role that sits between delivery and architecture: you own a project end to end while staying deep in the technical detail. What You'll Be Doing Own central bank and clearing integration projects end to end, from kickoff to go-live, as Unlimit enters new licensed markets. Act as the primary technical and project contact for regulators and their assigned counterparts. Manage the full onboarding path: credentials and environment setup, certification test cases, and production activation. Set and defend realistic launch timelines, and keep projects on track within their delivery window. Design and implement the connections that plug Unlimit into local clearing and payment systems. Deliver integrations with third-party BaaS providers to bring additional payment rails online. Document integrations and hand over clean, maintainable solutions to engineering and operations. Our Tech Stack You'll work across a stack that includes: Backend & tooling: JVM, Kotlin, Java, Spring Boot, Modulith, Javalin, jOOQ, Temporal Integration & messaging: REST and SOAP/XML web services, ISO 20022; Kafka and SQS/SNS for internal eventing Security: mTLS, PKI, certificate-based authentication, and digital signatures — standard for central bank and clearing connections Cloud & infrastructure: AWS, Docker, Kubernetes, Terraform, GitLab CI/CD What We're Looking For 5+ years in payments, banking, or integration engineering, with hands-on ownership of complex integration projects. Direct experience integrating with central banks and/or national clearing and settlement systems. Hands-on familiarity with payment schemes and networks such as SWIFT and SEPA. Strong understanding of payment rails, clearing, and settlement flows. Comfort with payment messaging standards and integration patterns (ISO 20022, MT/MX, SOAP/REST web services, certificate-based auth). The ability to run a regulated project independently — managing scope, timelines, and regulator communication without close supervision. A solid awareness of AI-driven engineering practices and where the tooling is heading. Hands-on experience putting AI tools to work — LLMs, AI-assisted development environments, and automation frameworks — to sharpen productivity, system performance, or technical decision-making. A clear, structured communicator who can hold their own with regulators and technical counterparties alike. Nice to Have Experience working directly with financial regulators, especially in Europe, Mexico, and Brazil. Familiarity with local schemes such as SEPA (Europe), SPEI (Mexico), and Pix (Brazil). Prior BaaS / embedded-finance integration experience. A background in payments, banking, or fintech operating across multiple jurisdictions. What You'll Gain Ownership of high-impact projects that directly unlock new markets for Unlimit. Exposure to the full fintech product landscape: acquiring, BaaS, wallets, crypto, and more. A global company with a strong engineering culture, agile mindset, and flat hierarchy. Collaboration with international teams across EU, LATAM, and APAC. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: New York, New York, United States About The Role iCapital is seeking a highly motivated Product Manager to help oversee the development of our Distributed Ledger Technology platform. This individual will work within a team-oriented environment composed of dedicated professionals in a results-driven culture. This role offers opportunities for career growth and oversight of teams, projects, and departments. The selected candidate will address complex industry problems related to various Alternative Investment data workflows. In collaboration with the Head of the Distributed Ledger Product this role aims to achieve scale and efficiency across diverse business processes and strategic initiatives firmwide. The position provides the opportunity to employ the latest technologies and innovative solutions. Responsibilities include leading and delivering industry solutions, overseeing data models, data validation, and data integrations, as well as identifying unmet needs, defining requirements, writing user stories, developing project communication plans, and testing implementations. The team operates through agile methodologies, with fast deployment and iterative improvements being core principles. We value collaboration and a multi-disciplinary approach in a dynamic, entrepreneurial environment. Responsibilities Lead product efforts for new business initiatives from ideation through phases of delivery and timely execution. Develop the strategic roadmap and lead the direction of the product data models and APIs in partnership with stakeholders. Present, communicate, and work directly with executive management as needed and provide status updates on critical strategic implementations. Resolve issues and concerns regarding resource allocation and work with stakeholders to manage expectations and set priorities. Mentor the team by coaching and leading by example in all aspects of development, whether building relationships or project execution. Develop a strong understanding of business impacts and manage concurrent requests and requirements. Manage client integrations and oversee team execution to ensure flawless implementation. Work with engineering leads to ensure the performance of APIs and connectivity with clients meets high standards throughout the product lifecycle. Maintain awareness of the competitive landscape from business, legal, and compliance perspectives. Contribute to the team and overall company mission beyond the product realm when appropriate. Qualifications 6-10+ years of experience in Product Management in a fast-paced, agile environment. Exceptionally strong organizational and communication skills are required. Finance/Fintech experience is preferred, especially in Alternative Investments. Proven track record of managing technical teams and strategic initiatives. Demonstrated influence in partnerships with colleagues, teams, and clients. Excellent communicator, comfortable engaging with executive management for ideas and resolutions. Strong technical background and understanding; ability to design and implement strategic API functionalities at scale. Natural problem solver driven to push initiatives to conclusions. Critical thinker comfortable with the unknown. Willingness to dig deep, analyze, and understand how things work. Data analysis experience required, with an emphasis on SQL and developing API integrations. Strong interpersonal skills capable of building relationships to gain buy-in and achieve business results. History of customer-centric focus with quick and thoughtful problem-solving abilities. Experience in data engineering and quantitative science is preferred, but not required. Benefits The base salary range for this role is $140,000 to $200,000 depending on level  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: ASTORIA GRANDE, Worldwide ISMIRA Agency is hiring CHIEF PURSERS for ASTORIA GRANDE cruise ships! ASTORIA GRANDE invites Russian-speaking employees to join its team to work on a cruise ship to Turkey and Egypt with departure from Sochi to the shores of the Black, Aegean, Marmara and Mediterranean Seas. Astoria Grande visits the unique ports of the Turkish coast — Istanbul, Cesme, Amasra, Sinop, Trabzon, Ordu, Izmir, Kusadasi, and also stops at the largest port of Egypt - ancient Alexandria, Islands of Greece and in the new season also in the beautiful Italian ports. POSITION SUMMARY: The Chief Purser directs the Accounting Operation onboard to ensure company, divisional and ship performance objectives set forth by the company are met and/or exceeded by performing the following essential duties and responsibilities personally or through department heads. WHAT COMPANY OFFERS: Season starts in March and lasts till mid January Single Cabin Free meals and accommodation The tickets at the expense of the employer The contract can be for full season or on rotation The salary is paid in euros + commissions REQUIREMENTS: Age 21+ Recruitment is conducted from the following countries: Armenia, Azerbaijan, Belarus, Georgia, Moldova, Russia, Uzbekistan, Kazakhstan, Kyrgyzstan. Fluency in Russian is mandatory for this position Knowledge of English is required both written and spoken A full package of STCW certificates and a seafarer's passport/seafarer's identity card and Seaman's Book are required (we can help to obtain) Degree in hospitality management, business administration or related field from an accredited college or university or the international equivalent, preferred. Ship experience is mandatory preferably with progressive management experience on cruise ship of which three years as Crew Purser, three years as Front Office Manager and three or more years as Guest Relations Manager / Chief Purser. Strong communication, problem solving, decision making, and interpersonal skills. Strong management skills in a multicultural and dynamic environment. Demonstrated leadership capabilities. Superior customer service, team building and conflict resolution skills. Knowledge of the principles and processes involved in business and organizational planning, coordination and execution. This includes strategic planning, resource allocation, workforce planning and management, leadership techniques and production methods. RESPONSIBILITIES: In accordance with the company’s rules and regulations, he/she conducts in a professional and courteous manner at all times. This consists of physical and verbal interactions with guests or fellow shipboard employees and/or in the presence of guest contact and when in crew areas. Plans, organizes, supports, controls, and evaluates the operation of the Accounting Department.  Accomplishes the targets set forth by the company through the management of supervisors and subordinates. Ensures the highest level of guest satisfaction by overseeing the delivery of quality guest services amenities within company’s standards. Establishes and maintains effective internal communications including regular departmental meetings to ensure optimum scheduling, teamwork and productivity. Continually encourages communication and cooperation between all sub-hotel departments, deck and technical departments. Keeps the Head Office and Shipboard Send us your RESUME here via the APPLY TO POSITION button Last update:  26 January 2026

Location: Tbilisi; Yerevan; Belgrade; Novi Sad, Vojvodina; Poland; Portugal Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits: You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. Requirements: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus What you’ll do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. Nice to Have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role 🤓 We are looking for a Senior Analytics Engineer to own the analytics enablement layer across seQura's core business domains — building the trusted, well-governed data foundation that business, product, and data science teams rely on to make decisions and ship models. This role sits at the intersection of data modeling, business domain understanding, governance, and semantic precision. You will design and deliver production-grade dbt models, shape the semantic layer to be AI-ready, and set the quality bar for the analytics enablement team. You will work closely with business circle leads, Data Scientists, across Risk, Finance, Payments, and Collections, and the Platform and Data Engineering team. What challenges you'll be solving 🚀 Championing a single source of truth for core business metrics — unifying definitions, socializing, and governing the canonical KPIs used across seQura, so that whether a metric appears in a dashboard, a DS model, or an executive report, it means the same thing. Building domain data products that serve both operational reporting and ML feature needs, ensuring downstream teams can self-serve reliably. Designing, building, and shipping production-grade dbt models across multiple business domains — Payments, Debt Collection, Risk, and Finance — writing clean, well-tested, and well-documented SQL. Owning the governance layer: data contracts, column-level lineage, tests, and semantic definitions — not just shipping models, but making them trustworthy. Structuring the semantic layer to be machine-readable and AI-ready, supporting both self-serve BI and AI-powered use cases. Setting and upholding standards for testing, documentation, and data quality across the analytics engineering team. Collaborating closely with Data Scientists, circle leads, and the Platform team to understand domain logic deeply and translate it into precise, unambiguous data models. Making cross-domain architectural decisions with a systems mindset — thinking beyond individual models to how the full data layer fits together. About the Data team 🧩 Team mission To turn seQura's raw data into trusted, well-governed data products that power decision-making across the company. The team builds the foundations that enable Product, Finance, Risk, Payments, Data Science, and AI teams to work with reliable, consistent, and discoverable data, ensuring everyone speaks the same language when making decisions. What we own The dbt transformation layer across business domains The Single Source of Truth (SSOT) for key business metrics Semantic models that enable consistent reporting and analytics Data contracts and governance standards across domains Data lineage, documentation, and discoverability Data quality, testing, and monitoring to ensure trusted data products Team Structure The Analytics Engineering team consists of four Analytics Engineers working alongside a Data Governance Lead and reporting to the Head of Data. The team partners closely with business stakeholders across Risk, Finance, Payments, and Collections, while collaborating with Data Platform, Data Engineering, and Data Science teams to ensure data products are reliable, scalable, and easy to consume. How we work Product mindset: we treat datasets as products, with clear ownership, quality standards, and consumers. Strong focus on data governance, documentation, and discoverability. Collaboration with business stakeholders to translate operational concepts into trusted data models. Analytics Engineering sits at the intersection of business knowledge, software engineering, and data architecture. Continuous improvement through testing, observability, and reusable modeling patterns. What to expect in the next 90 days 🏁 Month 1: You'll immerse yourself in seQura's data ecosystem, becoming familiar with our dbt project, semantic models, and governance principles. You'll work closely with business stakeholders and fellow Analytics Engineers to understand your domain, existing data models, and opportunities to improve consistency and data quality. Month 2: You'll deliver your first production-ready dbt models for your assigned business domain, applying testing, documentation, and governance best practices. You'll begin contributing to the team's standards around data quality, maintainability, and semantic consistency. Month 3: You'll take ownership of a meaningful portion of the Single Source of Truth within your domain, enabling downstream teams to confidently self-serve reliable data. You'll also contribute to cross-domain initiatives, helping define shared semantic models, governance standards, and reusable data patterns across the organization. Tech stack & environment 🛠️ Our modern data platform is built on AWS, with dbt at the heart of our transformation layer and Redshift as our analytical data warehouse. Analytics Engineers work extensively with SQL and dbt to build trusted, reusable data models, while leveraging Git-based development workflows, automated testing, documentation, and data quality monitoring to ensure reliable data products. The team collaborates closely with Data Platform and Data Engineering, building on top of cloud-native infrastructure and contributing to a governed data ecosystem designed to support analytics, business intelligence, and AI use cases across seQura. What you’ll need 🤝 5+ years of experience as an Analytics Engineer, with a strong track record of building and delivering production-grade data models (mandatory). Genuine curiosity about the business domains you model — you want to understand what decisions are made using the data not just how the data looks Strong hands-on dbt experience: modeling, testing, data contracts, documentation — not just running dbt, but understanding how to design a reliable model layer (mandatory). Expert SQL on a modern cloud data warehouse (Redshift, BigQuery, Snowflake, or similar). Systems thinking: ability to make cross-domain architectural decisions, not just implement individual models. You see how the pieces fit together. Semantic precision: you write metric definitions and data documentation that are unambiguous to both humans and AI agents. Experience with Python for data tasks is a plus. Familiarity with data governance and lineage tooling (OpenMetadata or similar) is a plus. Fintech or financial services domain knowledge is a plus. English proficiency required. Spanish is a plus. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts with Sanitas and DKV. Flexible working hours. A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. Hybrid or remote work (up to 2 hours difference from GMT+2). Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. Which are the next steps? 🙌 Interview with People Team Hiring Manager interview Technical take-home assessment (async) Live Peer review of the assessment Meet the team We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Location: Dubai, United Arab Emirates AHS is a Dubai-based group focused on ultra-luxury real estate development, strategic investments, and high-value ventures. The business operates at the intersection of development, capital, and long-term strategic growth, with a focus on shaping high-impact opportunities across its portfolio. This role sits close to executive leadership and supports the planning, coordination, and reporting that help turn strategic priorities into action. As Planning Manager (CEO Office), you will help bring structure, visibility, and momentum to key initiatives, working across teams to support informed decision-making and business performance. Responsibilities Develop strategic planning frameworks and track CEO office priorities across business units. Coordinate cross-functional initiatives, timelines, and executive follow-ups for key projects. Prepare executive reports, dashboards, and presentations for leadership decision-making. Monitor project milestones, risks, and budget alignment for strategic initiatives. Support annual business planning, performance reviews, and ad hoc strategic analysis. Requirements Bachelor’s degree in business, finance, economics, or a related field. 5+ years of experience in strategic planning or executive office roles. Experience in CEO office or corporate strategy environments, with exposure to real estate development and investment-side planning. Strong proficiency in Excel and PowerPoint, with hands-on experience using Power BI, Tableau, ERP systems, and Monday.com. Proven experience managing cross-functional initiatives, aligning senior stakeholders, and coordinating with business unit heads. Experience working directly with the CEO or C-suite and preparing board-level materials.

Location: Amsterdam DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is seeking a Risk Manager – Equities to be based in our Amsterdam office. Reporting to the Head of Equities Risk, this role will provide independent oversight of DRW's equities, ETF, derivatives and crypto businesses. The successful candidate will partner closely with traders and business leadership to promote disciplined risk-taking and further strengthen DRW's risk management framework. Responsibilities Partner with traders, senior management and the risk management team to enhance risk frameworks, controls and tools. Monitor trading activity, portfolio exposures and risk concentrations across DRW's businesses. Challenge trading strategies, hedging approaches and key risk assumptions. Oversee pre-trade and real-time risk controls for electronic and systematic trading activities. Monitor options and derivatives exposures and perform stress testing and scenario analysis. Ensure effective oversight of market, execution, liquidity and operational risks. Interface with clearing firms, counterparties, exchanges and regulators on risk-related matters. Escalate material risk issues to senior management and the DRW Risk Committee. Required Experience and Skills Significant experience (5 years or more) in market, trading or portfolio risk management within a proprietary trading firm, market maker, hedge fund or electronic trading business. Experience navigating the EU regulatory framework for investment firms and interacting directly with European regulators. Strong quantitative and analytical skills, with experience using Python, SQL, R or similar tools. Deep understanding of options, volatility products and derivatives markets. Experience overseeing risk for electronic, systematic or market-making trading businesses, including pre-trade risk controls. Strong understanding of ETF market structure, factor models and execution risk. Ability to challenge risk-taking decisions and influence stakeholders across trading and business teams. Demonstrated ability to leverage modern AI tools and automation technologies to improve analysis, monitoring and risk management workflows. Sound judgement, intellectual curiosity and a proactive, independent approach. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters—it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-KS1]

Location: Paris; London Workplace: Hybrid TL;DR: We're looking for a research scientist to build autonomous, large-scale environments that push LLM agents (single and multi-agent) to failure, and study how they actually break. About us White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need. About the team White Circle's fundamental research team works on the science of how AI systems fail: where agents break, why misalignment and unsafe behaviours emerge, and how to catch them before they reach the real world. We build the evals, benchmarks, environments, and tooling that empirically study the most pressing AI safety concerns — some of which become the guardrails shipped in our products, and some of which become public writeups. What you’ll do - Build adversarial environments for agents: complex, uncertain settings that sit on the boundary of agent capability and alignment, where failure is informative rather than trivial. - Build realistic multi-agent environments and instrument them so emergent breakdowns are observable — failures that arise from the agents themselves, not ones scripted from the outside. - Run experiments end to end, against external APIs and our own models, orchestrating many agents in parallel. - Catalogue concrete agent failure modes and build the tooling to surface them at scale. - Turn findings into internal models of agent behaviour and into public writeups. You’ll fit right in if you - Have built at least one non-trivial agent environment or automated research pipeline that ran end to end (single- or multi-agent), and can talk through what broke and why. - Have strong software and AI engineering skills. Can independently orchestrate many agents and containers in parallel without that orchestration being the bottleneck. - Have a track record of empirical research in agents, red-teaming, or post-training where you defined the question, ran it, and drew a defensible conclusion. - Are a fast empirical iterator who is comfortable defining the question when there's no playbook: can take a fuzzy concern ("do these agents collude under pressure?") and turn it into a concrete, falsifiable experiment. - Are an AI power-user — fluent with frontier models and coding agents in your daily work. A big plus - Published research at A* venues on automated red-teaming, agentic environments, or post-training. - Experience building monitoring for model failures and anomalous behaviour. - Experience reproducing public benchmark results and finding where the original methodology is fragile or misleading. - An MSc or PhD in machine learning, computer science, cognitive science, computational neuroscience, physics, or a related quantitative field. - AI safety fellowship (MATS, ASTRA, Anthropic Fellows, etc.), or a comparable self-directed research record. Compensation & benefits - Competitive compensation, including equity - Flexible time off - Office in central London/Paris with flexible hybrid setup - Relocation support if you’re moving to Paris, available after your probationary period - Premium private health insurance - Mental health support, including coverage for therapy when you need it - Lunch and dinner covered when you work from the office - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella Process 1. Intro call with Talent 2. Test assignment 3. Technical interview with Head of Fundamental Research 4. Final interview with CEO