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Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. RESPONSIBILITIES - Push search and agent quality forward through improvements to models, training data, tools, and system design. - Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. - Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. - Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. - Improve retrieval and ranking models and the search interfaces agents use to find and assess information. - Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. - Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. - Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. QUALIFICATIONS - A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. - Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. - Experience designing rigorous evaluations, diagnosing failures, and translating experimental results into practical improvements. - Comfort with open-ended problems that require both research judgment and hands-on engineering. - A strong sense of ownership, curiosity, and the drive to carry an idea through to a working system. NICE TO HAVE - Experience with training models to use tools or complete tasks over many steps. - Multi-agent training, coordination, or evaluation. - Building agent harnesses, distributed training systems, or scalable inference infrastructure. - Large-scale retrieval, ranking, or recommendation systems.

Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. RESPONSIBILITIES - Push search and agent quality forward through improvements to models, training data, tools, and system design. - Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. - Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. - Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. - Improve retrieval and ranking models and the search interfaces agents use to find and assess information. - Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. - Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. - Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. QUALIFICATIONS - A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. - Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. - Experience designing rigorous evaluations, diagnosing failures, and translating experimental results into practical improvements. - Comfort with open-ended problems that require both research judgment and hands-on engineering. - A strong sense of ownership, curiosity, and the drive to carry an idea through to a working system. NICE TO HAVE - Experience with training models to use tools or complete tasks over many steps. - Multi-agent training, coordination, or evaluation. - Building agent harnesses, distributed training systems, or scalable inference infrastructure. - Large-scale retrieval, ranking, or recommendation systems.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE We are hiring an LLM Scientist to push the boundaries of AI-driven scientific discovery. You will specialize in developing and optimizing large language models (LLMs), agentic AI, and deep learning frameworks to solve open problems in the natural sciences: Biology, Chemistry, Physics, and/or Materials Science. Your work will empower scientists with cutting-edge AI tools and accelerate research through: - Model-centric innovation: Improving LLMs’ capabilities to tackle complex scientific problems (e.g., literature synthesis, autonomous experimentation, rigorous derivations). - Cross-disciplinary collaboration: Partnering with Natural sciences domain experts to translate AI advancements into real-world scientific impact. WHAT YOU WILL DO - AI/ML Research: Participate in end-to-end training of LLM-based solutions, with a focus on scalability, generalization, and scientific applicability. - Data creation: Design original workflows to accumulate high quality scientific data at scale, either through synthetic or crowd sourced pipelines. - Algorithm Design: Use and improve reinforcement learning, or agentic systems tailored to Natural sciences challenges (e.g., modeling resolution, material property prediction, advanced data analysis and coding). - Interdisciplinary Bridge: Work closely with domain scientists to identify AI opportunities and refine models based on feedback. - Tooling & Infrastructure: Contribute to company infrastructure to improve usability for model training in scientific contexts and open-source AI tools for science for non-AI experts. - Autonomous Innovation: Set a research agenda for AI in science, exploring high-risk/high-reward ideas.   WHAT WE'RE ARE LOOKING FOR - AI/ML Expertise: Strong background in LLMs, deep learning, or agentic AI, with a track record of applying these to real-world problems (publications, open-source contributions, or deployed systems) – at the minimum extensive experience in computer science and ideally experience scaling synthetic data generation. - State-of-the-art Knowledge: Familiarity with the latest advancements in LLM architectures and post training. - Technical Depth: Hands-on experience with PyTorch/TensorFlow/JAX, model optimization, and scaling techniques (e.g., fine-tuning, RLHF). - Scientific Capability: Ability to understand 1 Natural Science domain at a high level (e.g., graduate level specialization + general undergrad knowledge) to design effective AI solutions. - Engineering Rigor: Proficiency in scientific computing (e.g., numerical methods, HPC) and software best practices. - Collaboration: Experience translating technical AI concepts for non-experts (e.g., scientists, engineers) and iterating based on user needs. - Mindset: Low ego, team player, and eager to tackle operational challenges (e.g., data pipelines, model deployment). MOTIVATIONAL PARAGRAPH When applying for the AI for Science team at Mistral, please describe in a short paragraph a potential project that you would like to contribute to the team, why it is challenging and interesting in general, and more specifically for Mistral. Please also highlight the specific skill set that you can bring to the team. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Russia Workplace: remote ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. THE ROLE We are hiring a Senior Frontend Engineer for two platform products: Xsolla ID is the identity and authentication platform behind sign-in, account management and SSO across Xsolla products. Xsolla ZK is Web3 wallet infrastructure: smart wallets and account abstraction on a zkSync-based L2. Both products sit on users' most sensitive flows: logging in and signing transactions. Responsibilities WHAT YOU WILL OWN The frontend of your product area end to end: shaping tasks with Product and Design, implementation, release and production monitoring Technical decisions for that frontend. You make them and justify them in writing, rather than only implementing someone else's The architecture of frontend applications and the shared UI library / SDK that other teams build on Measurable frontend quality: performance, reliability and security of user flows WHAT YOU WILL DO Design and build user flows: sign-in, account management, wallet onboarding and transaction signing Track how these flows behave in production (errors, performance, drop-offs) and act on what you see Make architectural decisions for frontend applications and document them Develop the shared component library and frontend SDKs used by other Xsolla teams Agree API contracts with backend engineers, including error handling, retries and edge cases Own performance budgets: Core Web Vitals and bundle size Improve the engineering environment: build, linters, tests, CI Review code Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively Nice to have Language and platform 5+ years of commercial frontend development TypeScript in strict mode: generics, utility types, discriminated unions, typing module boundaries and external data JavaScript at the platform level: event loop, asynchrony, closures, memory. You can find a leak and explain its cause Frameworks and state Deep experience with React: rendering model, profiling, eliminating unnecessary re-renders Separating local, server and global state, and justifying the choice of tool; reasoning about when SSR is worth it UI quality and performance Semantic, responsive, cross-browser layout; modern CSS (CSS Modules, CSS-in-JS) Accessibility: ARIA, keyboard navigation, screen reader support Performance analysis: profiling, bundle analysis, Core Web Vitals Integration and security REST API integration: error handling, retries, request cancellation, contract alignment with backend Web security fundamentals: XSS, CSRF, CSP, secure handling of tokens, sessions and user data Engineering practices Testing at the right level: unit, integration, E2E Git, CI, Docker, linters and formatters AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Reading technical documentation in English Experience in security-sensitive domains: authentication and identity (OAuth2/OIDC flows on the frontend), payments, crypto wallets Web3 frontend: wallet integration (embedded and browser wallets), EIP-1193, EIP-6963, EIP-712; viem, wagmi, ethers.js Next.js or Nuxt, SSR in production Design systems and component API design, UI kits Hybrid applications: WebView, React Native HOW WE WORK Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. THE TEAM You will work alongside product managers, designers, frontend and backend engineers, and QA. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible) Contract: Employment agreement (entity or EOR arranged per candidate location) EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.

Location: Abu Dhabi, UAE; Hong Kong SAR; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. We are seeking an experienced Internal Audit Manager with forensic investigation experience to join our global internal audit function. This role will be responsible for leading end-to-end business audit engagements across business functions, as well as conducting fraud investigations and whistleblower cases. The ideal candidate will combine strong audit fundamentals with investigative rigour — capable of both evaluating control environments and tracing irregularities to their root cause. Deep knowledge of financial services, cryptocurrency, or fintech is highly valued. Business Audit Plan and execute end-to-end risk-based audit engagements across operational, financial, and business functions Evaluate the design and operating effectiveness of internal controls, identifying control gaps, policy violations, and process inefficiencies. Draft high-quality audit reports that clearly communicate findings, root causes, business impact, and actionable recommendations to management and the Board. Monitor remediation progress and drive timely closure of audit issues. Forensic Investigation Lead or support fraud investigations, ethics violations, and whistleblower cases — including evidence collection, interview planning, and forensic analysis of financial transactions. Conduct deep-dive analyses of suspicious activities, tracing transaction flows, identifying anomalous patterns, and documenting evidence for management action Prepare investigation reports suitable for management decision-making, disciplinary proceedings, or regulatory disclosure. Collaborate with Legal, HR, and Compliance on sensitive investigations, maintaining strict confidentiality and chain-of-custody protocols. Collaboration & Advisory Partner with Compliance, Risk, Finance, and business teams to strengthen the control environment proactively. Provide advisory input on policy design, process improvements, and anti-fraud controls. Requirements Bachelor's degree in Accounting, Finance, Law, Business Administration, or related field. CPA, CIA, CFE (Certified Fraud Examiner), or equivalent certification preferred. Minimum 6 years of experience in internal audit, forensic investigation, or compliance within financial services, fintech, or cryptocurrency sectors. Demonstrated experience conducting fraud investigations or forensic reviews, including evidence handling, interview techniques, and report writing. Strong understanding of internal control frameworks, risk management practices, and IIA auditing standards. Knowledge of cryptocurrency exchange operations, blockchain, and related regulatory frameworks is a strong plus. Detail-oriented with excellent analytical and critical thinking skills. Effective communication skills (written and verbal) with the ability to present complex findings clearly to senior management. Proficient in Chinese and English for business usage. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Paris, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries.   The team To sustain the company's growth, Ledger is looking for a Senior Scala Backend Engineer to join the Cloud Wallet team. This team builds and operates the backend services that power blockchain account management, transaction processing and on-chain data aggregation across all Ledger wallet surfaces, from Ledger Live to Ledger Enterprise, the custody platform used by financial institutions. Every client transaction goes through these services, and so does every new blockchain Ledger supports. We believe in the power of functional programming to build robust and scalable platforms. We take time to share, challenge, and grow together through bi-weekly knowledge-sharing sessions, meetups, conferences, and open source contributions.   What you’ll be doing - Design, build and operate the Scala services that connect Ledger wallets and the Ledger Enterprise platform to blockchain backends: account creation, operation history, transaction crafting, broadcast and lifecycle tracking. - Lead new blockchain integrations end to end, from the integration design (ADR) to production, across account-based, UTXO and privacy-preserving chains. - Own production quality on your scope: SLIs and SLOs, observability, distributed tracing. Take part in the firefighting rotation and drive incidents to resolution, including those raised by institutional clients. - Define clear contracts with the Coin Integration and Ledger Enterprise teams, for example where UTXO selection lives or how transaction states are exposed to consumers. - Write and review ADRs, challenge designs, and raise the bar on code quality, testing (including end-to-end on testnets) and technical debt management. - Work in an AI-native way: use coding agents daily, write the specifications, constraints and verification that let them deliver safely, and contribute to the team's AI tooling. - Mentor other engineers and share your knowledge across the Backend Blockchain community.   You will collaborate cross-functionally with: - The Coin Integration team for coin modules and new blockchain integrations. - The Ledger Enterprise team, main consumer of the team's services for institutional custody. - The Ledger Wallet, Ledger Button and Wallet XP teams as consumers of the team's backend APIs. - The Blockchain platform team for data model alignment, indexing and event streaming. - The Infrastructure and SRE teams for deployment, reliability and scalability. - The Security team (Donjon) for vulnerability analysis and remediation. - The Product team for roadmap prioritization and customer-driven requirements.   What we’re looking for - 5+ years of backend engineering, with real production ownership of distributed systems. - Strong production experience - Interest for Scala and functional programming practice - Hands-on blockchain integration experience: transaction lifecycle, fees, finality, reorgs, on at least two models among account-based, UTXO and privacy-preserving chains. - Experience with event-driven systems and data infrastructure (PostgreSQL, RabbitMQ, NATS or equivalent) and with observability tooling (Datadog or equivalent). - Able to diagnose an incident across several services and own the outcome, from root cause to fix in production. - Comfortable reading and contributing to TypeScript code, as the team works on a polyglot stack. - Daily use of AI coding tools, with a critical eye on their output. - Clear written communication in English, especially for design documents and incident reports. At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Location: Munich; Warsaw; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE The Inference Foundation team owns the core of Mistral's inference stack: the inference engine and its orchestration, from the feature set and configuration that serve our models in production to the release machinery that keeps the stack current and production-grade. This is a hybrid position spanning production LLM serving, engine and platform development, and capacity engineering. You will work on three intertwined problems: 1. Optimize the inference stack at scale — feature development and fixes in the engine and orchestrator, squeezing more throughput and lower latency out of every GPU under strict quality-of-service targets. 2. Make capacity elastic — scaling up and down should be cheap and fast, not a performance cliff. 3. Power the training of our frontier models — high-performance serving that keeps RL and post-training loops running at full speed.   What You Will Do INFERENCE ENGINE & ORCHESTRATION - Develop and fix the core of the inference stack — engine and orchestrator — including feature selection, configuration, and tuning for maximum performance at scale - Own the release process for the serving stack: validated, regression-free releases through automated performance gates and progressive rollout - Drive improvements and fixes upstream when the open-source engine is the right place for them PERFORMANCE & CAPACITY AT SCALE - Optimize serving efficiency across the fleet — driving down pod startup time, tackling cold-cache regressions on scale-up, smarter caching and offloading - Optimize and maintain the optimal serving topology — overlap communication and transfers with computation, ensure optimal placement, connectivity, and routing SERVING FOR FRONTIER TRAINING - Build the serving infrastructure that powers RL and post-training for our frontier models - Optimize inference performance across the full spectrum of our workloads   What We're Looking For - Experience building and running ML/LLM services at scale, with clear latency and availability targets - Hands-on experience with inference engines such as vLLM, SGLang, TensorRT-LLM, or others - A solid grasp of inference internals: prefill vs. decode, KV-cache behavior, batching, scheduling, speculative decoding, parallelism strategies - Familiarity with distributed and disaggregated serving architectures - Comfortable debugging across the full stack — CUDA/NCCL, kernels, containers, networking, storage - Python for systems tooling and backend services; PyTorch - Kubernetes for running infrastructure at scale - GPU and networking fundamentals: CUDA runtime, NCCL, InfiniBand/RDMA It Would Be Great If You Have - Demonstrated vLLM/sglang know-how — upstream contributions, or a track record of running in demanding production environments - Hardware-aware optimization for various model architectures - Experience serving MoE models at scale (expert parallelism, expert placement/load balancing) - CUDA/Triton kernel development; Nsight Systems/Compute profiling - Rust and/or C++ in production systems WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St) Workplace: Hybrid The role As our 'Engineering Manager - Data', you will lead the engineering team responsible for creating and maintaining core models on our data platform. In this role, you will balance strategic leadership with technical delivery, shaping platform architecture while staying close enough to execution to ensure delivery, stability, and quality standards are met. You will empower and grow senior engineering talent, establish operational standards, and manage risk and dependencies across key quarterly initiatives. Partnering closely with product, platform, and security teams, you will ensure high-quality, scalable data products are delivered to solve meaningful customer problems. The team & how they connect The 'Dataverse' team consists of nine engineers located across Australia, New Zealand, and Canada who build and maintain the core models in our data platform. Working across remote locations, the team collaborates closely to manage cross-team dependencies and maintain continuous alignment. They foster an environment grounded in knowledge sharing, constructive feedback, and empathy for stakeholders. Initially, the role may focus on - Designing and building core models on the data platform using AWS and Snowflake infrastructure. - Streamlining real-time data flows and streaming architecture across platform services. - Leading delivery execution for complex data platform initiatives while managing dependencies and risks. - Coaching senior engineers, elevating engineering standards, and supporting team adoption of DataOps practices. Where and how you can work This role offers flexible hybrid working arrangements based out of our Sydney or Melbourne offices. You can balance remote work with designated office boost days to connect, whiteboard, and collaborate in person with your team. Here are some of the things we're looking for, for this role: - A background in data platform delivery alongside data engineering expertise and data modelling capability. - Practical familiarity with cloud infrastructure like AWS and Snowflake, along with an understanding of real-time streaming technologies and data flows. - Your leadership style combines delivery focus with the technical breadth required to guide architectural decisions and step in hands-on when required. - Proven capability in coaching senior engineers, setting clear expectations, and supporting individual career progression. - Demonstrated proficiency managing platform health, establishing Service Level Objectives, and leading operational performance. - Strong collaborative skills to build trusted relationships across product, platform, and security teams. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is building a dedicated function to drive its partnerships across the AI ecosystem — labs, AI-native companies, and the investor community — and convert those into real technical and commercial outcomes. This is a newly created, high-visibility role that sits at the intersection of strategic business development, product partnership, and ecosystem relationship-building. Ramp is already embedded with key partners across the AI ecosystem, from working with leading labs on the latest models to serving as a design partner for emerging product capabilities. This role exists to deepen those relationships across every major lab and AI-native company, and turn them into something commercially meaningful. There is no playbook for this. This person will own and grow Ramp's most strategic relationships across the AI ecosystem, leading the technical side of those relationships end to end with partner product and engineering teams. The mandate spans product integrations, technical partnership strategy, deal-making, co-selling, and the creation of new revenue channels, pairing real product and engineering depth with commercial execution and ecosystem credibility. WHAT YOU'LL DO - Demonstrate technical depth to lead AI product and integration conversations end to end with partner engineering and product teams. - Own Ramp's relationships with emerging labs and AI-native companies at a true partnership level — not account management - Be embedded in the San Francisco AI community and know who is actually driving decisions at the labs, not just what the org chart says - Convert ecosystem relationships into commercial outcomes — referrals, integrations, co-selling, and new revenue channels - Do both the business development and product/integration work, combining deal-making with genuine technical engagement - Stay ahead of how leading AI companies are commercializing and going to market, and help Ramp move with them — and ahead of them - Represent Ramp externally across the San Francisco AI community: founders, investors, lab leaders, and operators WHAT YOU'LL NEED - Deep, trusted relationships at leading AI companies with the people who make decisions and influence direction — not just formal contacts - Commercial outcomes tied to those relationships, including initiatives with measurable revenue potential and smarter product integrations on both sides - Ramp is known and respected across the San Francisco AI community as a must-know fintech partner - Ramp keeps pace with — and ideally stays ahead of — how quickly the labs are changing, evolving their go-to-market strategies, and commercializing - A repeatable business development and product motion built for the AI ecosystem, not a series of one-off partnerships - An ever-evolving AI partnership strategy that includes sourcing, negotiating, contracting, executing, and growing relationships with leading AI companies Over the course of a year, success means launching public products, integrations, go-to-market initiatives, and distribution channels with labs and applied AI companies. Near-term objectives could include inclusion in model-launch announcements and joint product-integration launches. Longer-term goals will incorporate adoption of integrations and revenue targets as distribution partnerships are executed. Every day will look different, but the work will include meeting with cross-functional stakeholders internally and externally, keeping a pulse on applied AI and the labs, negotiating active contracts, refining and executing Ramp's AI partnership strategy, and helping Ramp get closer to the teams that matter at the top AI companies. NICE TO HAVES - The ideal candidate combines two qualities that are hard to find in one person: ECOSYSTEM CONNECTOR - Deep personal relationships in the San Francisco AI community — founders, lab leaders, and investors — at a level where people pick up the phone - Experience working inside or alongside leading AI partners in a way that provides genuine credibility, not just familiarity - Known and trusted by the venture capital and investor community in AI COMMERCIAL OPERATOR - Has built partnerships from zero at a high-growth company and been accountable for commercial outcomes - Can do the product and business development work simultaneously — technically fluent enough to engage on integrations and commercially sharp enough to close deals - Has a builder mindset and can design scalable programs, not just one-off relationships KEY CRITERIA - Strategic business development — can identify and close partnerships that drive real commercial outcomes - Technical aptitude — enough depth to hold credible conversations with AI lab and product teams - Systems thinking — builds scalable programs, not just one-off deals - Access — personal relationships at the decision-maker level inside labs, AI-native companies, and the investor community WHY THIS ROLE IS EXCITING - Ramp's AI partners are among the most influential partners any technology company can have right now. Getting this right matters enormously. - There is no playbook. Anyone who can do something distinctive here will create a significant advantage — for Ramp and for their own career. - This is one of the few roles that is genuinely AI-focused at a leading company in AI and technology. - Ramp is already embedded with leading AI companies and is ahead of the curve in building this function. The groundwork is there. - Ramp will give this person real runway — not a constrained, narrow mandate. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote Europe; Warsaw; Madrid; Lisbon; Riga; Tallinn; Yerevan; Tbilisi; Chisinau Workplace: remote About Unlimit Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses. Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents. Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography. The Role We are looking for a Senior Talent Acquisition Manager with a true headhunter mindset. You love the hunt: you go after passive candidates, find people who are not on the market, and keep going when the first, second, and tenth outreach get no answer. You own your vacancies end to end, set your own pace and priorities, and don't need anyone to check in on you to deliver. Your focus will be commercial hiring across the UK and Europe: senior commercial leadership and account management teams, from individual contributors to regional heads. From time to time you will also pick up other business roles as priorities shift. You will act as a trusted advisor to hiring managers and executives. What You'll Do Own full-cycle hiring for commercial roles across the UK and Europe, from senior leadership to account management, from kickoff with the hiring manager to signed offer Run executive search projects: market mapping, target company lists, talent pools, direct approach to passive candidates Source relentlessly across LinkedIn, professional communities, referrals, events and your own network; build pipelines where there were none Craft outreach that gets replies and turn "not looking" into "let's talk" Advise hiring managers on the market: talent availability, compensation expectations, realistic profiles and timelines Assess candidates in depth and present shortlists with clear arguments, not just CVs Manage offers and negotiations, and keep candidates engaged until their first day Keep Lever data clean and report on pipeline health and hiring results Share your search know-how with the team and help raise the bar on sourcing. What We're Looking For 6+ years in recruitment, with a strong focus on sourcing and direct search Proven executive search experience: you have closed senior and C-level roles through direct approach Ideally, a background that combines a recruitment or executive search agency, an in-house team and an international fintech or payments company, with around 2 years or more in each. Other paths are welcome if you bring the same hunting skills Strong track record of hiring commercial roles (sales, business development, account management) in the UK and Europe Self-driven and autonomous: you plan your own work, raise blockers early and don't need micromanagement Persistence and resilience: a "no" from a candidate is the start of the conversation, not the end Strong stakeholder management: confident with senior hiring managers and executives English at C1 level or higher, written and spoken Fluent Russian. What We Offer Fully remote role within the European time zone Senior, high-impact searches with direct access to leadership Corporate Claude license and the full sourcing toolkit you need to succeed Freedom to choose your own approach A team of international TA professionals to learn from and share with Multicultural working environment in a fast-growing global fintech Vacation, sick leave, and paid holidays Company-provided laptop. 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: Dubai, United Arab Emirates Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job We are seeking a highly driven Head of AI Expansion to lead the global adoption of Tether’s AI ecosystem, with a focus on QVAC and decentralized, privacy-preserving AI infrastructure. The role will engage leading enterprises, institutions, and governments globally, helping them deploy AI solutions built around local computing, data sovereignty, privacy, and independence from centralized cloud infrastructure. This is a hands-on leadership role combining exceptional commercial and relationship-building capabilities with deep AI knowledge. You will identify and prioritize opportunities, structure complex projects, close strategic partnerships, monitor success of partnerships and build the team required to scale Tether AI globally. The ideal candidate can comfortably move between technical discussions with AI and engineering teams and strategic conversations with CEOs, CTOs, CIOs, and government leaders and should be used to work in multiple geographies/ cultures. International travel is required. Responsibilities Business Development & Partnerships Drive global adoption of QVAC and Tether AI across enterprises, institutions, and governments. Identify organizations where local, private, decentralized, or sovereign AI provides a strategic advantage. Match use cases with needs of identified organizations and build business cases for the implementation of the use case Nurture existing and build new relationships with CEOs, CTOs, CIOs, AI leaders, and government stakeholders. Personally originate, structure, negotiate, and close strategic AI partnerships and deployments. Develop partnerships across the AI ecosystem, including compute, hardware, infrastructure, and technology providers. Monitor performance of partnerships, proactively identify risks and design mitigation plans Market Strategy & Execution Define and execute Tether AI’s global go-to-market strategy. Identify priority markets, industries, and high-value AI use cases. Co-develop with clients their requirements and translate them into deployable solutions together with product and engineering teams. Build and manage a global pipeline of strategic AI opportunities. Monitor market, competitive, regulatory, and technological developments. Team Leadership Build and lead the AI Expansion team globally. Recruit expansion managers, partnership leads, solution architects, and other key profiles. Establish KPIs, execution playbooks, and commercial processes. Work closely with Tether’s AI, engineering, product, and regional Expansion teams. Strategic Representation Position Tether as a strategic partner for organizations seeking AI sovereignty, privacy, resilience, and infrastructure independence. Represent Tether AI in strategic meetings, government engagements, conferences, and industry forums. You Have 7+ years of experience across AI, enterprise technology, infrastructure, or technology business development. Strong knowledge of AI/ML, LLMs, inference, local/edge computing, data infrastructure, and decentralized architectures. Proven experience personally originating, structuring, and closing large enterprise technology deals and partnerships. Strong relationships with senior decision-makers across enterprises, technology companies, and/or governments. Exceptional communication, negotiation, and relationship-building skills. Experience building and managing high-performing teams. Entrepreneurial mindset and ability to operate independently in fast-moving environments. Degree in AI, Computer Science, Engineering, Business, or related field. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: San Francisco, United States Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job We are seeking a highly driven Head of AI Expansion to lead the global adoption of Tether’s AI ecosystem, with a focus on QVAC and decentralized, privacy-preserving AI infrastructure. The role will engage leading enterprises, institutions, and governments globally, helping them deploy AI solutions built around local computing, data sovereignty, privacy, and independence from centralized cloud infrastructure. This is a hands-on leadership role combining exceptional commercial and relationship-building capabilities with deep AI knowledge. You will identify and prioritize opportunities, structure complex projects, close strategic partnerships, monitor success of partnerships and build the team required to scale Tether AI globally. The ideal candidate can comfortably move between technical discussions with AI and engineering teams and strategic conversations with CEOs, CTOs, CIOs, and government leaders and should be used to work in multiple geographies/ cultures. International travel is required. Responsibilities Business Development & Partnerships Drive global adoption of QVAC and Tether AI across enterprises, institutions, and governments. Identify organizations where local, private, decentralized, or sovereign AI provides a strategic advantage. Match use cases with needs of identified organizations and build business cases for the implementation of the use case Nurture existing and build new relationships with CEOs, CTOs, CIOs, AI leaders, and government stakeholders. Personally originate, structure, negotiate, and close strategic AI partnerships and deployments. Develop partnerships across the AI ecosystem, including compute, hardware, infrastructure, and technology providers. Monitor performance of partnerships, proactively identify risks and design mitigation plans Market Strategy & Execution Define and execute Tether AI’s global go-to-market strategy. Identify priority markets, industries, and high-value AI use cases. Co-develop with clients their requirements and translate them into deployable solutions together with product and engineering teams. Build and manage a global pipeline of strategic AI opportunities. Monitor market, competitive, regulatory, and technological developments. Team Leadership Build and lead the AI Expansion team globally. Recruit expansion managers, partnership leads, solution architects, and other key profiles. Establish KPIs, execution playbooks, and commercial processes. Work closely with Tether’s AI, engineering, product, and regional Expansion teams. Strategic Representation Position Tether as a strategic partner for organizations seeking AI sovereignty, privacy, resilience, and infrastructure independence. Represent Tether AI in strategic meetings, government engagements, conferences, and industry forums. You Have 7+ years of experience across AI, enterprise technology, infrastructure, or technology business development. Strong knowledge of AI/ML, LLMs, inference, local/edge computing, data infrastructure, and decentralized architectures. Proven experience personally originating, structuring, and closing large enterprise technology deals and partnerships. Strong relationships with senior decision-makers across enterprises, technology companies, and/or governments. Exceptional communication, negotiation, and relationship-building skills. Experience building and managing high-performing teams. Entrepreneurial mindset and ability to operate independently in fast-moving environments. Degree in AI, Computer Science, Engineering, Business, or related field. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and dashers. TPMs on our Engineering teams provide fundamental support to the underlying technology services as well as the engineers building these services. It’s no simple task, but it wouldn’t be interesting if it was! About the Role Money is DoorDash’s organisation responsible for the financial products and infrastructure that enable transactions across DoorDash, Wolt and Deliveroo. The domain owns how consumers pay, how merchants and couriers are paid, and how money is recorded, reconciled and reported, covering payment processing, payment methods, payouts, invoicing, financial ledgers and regulatory compliance. We are looking for a Senior Technical Program Manager to help scale Money Domain. You will lead important engineering wide initiatives across Invoicing Platform, Payment Instruments, amongst others; working with Engineering, Product, Operations, and business leaders to deliver dependable, scalable Money capabilities for the business. Programs will span backend services, partner and merchant integrations, and regulatory / compliance products. They require strong technical judgment, cross organisational coordination, stakeholder management, and ownership of results. You will report into the centralised global Technical Program Management team in Engineering, through a manager based in London. This is a hybrid role based in our London office in Cannon Street. You're excited about this opportunity because you will… Drive Money Domain’s Most Strategic Programs - You will partner closely with Engineering and Product leadership, Strategy & Operations, and cross-functional teams to turn Money Domain’s strategy into executable technical programs. Lead Complex Cross-Organization Execution — Money Domain interacts with capabilities across consumer, merchant, courier, order and enterprise domains, payment processing, payouts, fraud and risk, regulatory compliance, accounting, financial data and platform infrastructure. You will establish clear ownership and milestones, surface critical dependencies and tradeoffs, and drive alignment across teams when the path forward is not obvious. Bring Technical Depth and Systems Thinking - You will develop a deep understanding of the architecture, integrations, data flows, and operational systems behind Money Domain (Financial Systems). You will engage in technical designs, identify scaling and reliability risks, understand how decisions in one part of the system affect end-to-end consumer, rider/ courier, and merchant experiences, and help teams make pragmatic tradeoffs. Turn Ambiguity into Strategy and Action - Many of our hardest problems do not begin with a clean scope or a single owner. You will truth-seek across technical and business inputs, frame the problem, clarify the definition of success, develop a point of view on risks and options, and create an execution path that teams and leaders can align behind. Connect Engineering Execution to Business Outcomes - You will understand the merchant, partner, customer, and economic outcomes behind the work and use that context to guide prioritization and execution. We're excited about you because… You’re experienced in working with engineering teams on  large-scale distributed systems and/or b2b products. You can speak to system architecture, scalability and reliability decisions, and design trade offs. You’re a strong leader with the ability to collaborate and build relationships across organizations, bridge gaps between teams, and successfully influence without authority. You have strong ownership, urgency, and drive. You are willing to roll up your sleeves and dive into the details to understand and drive your programs. You have excellent written & verbal communication skills with the ability to communicate with confidence, clarity, and focus. You can convey concepts and considerations to non-experts and experts alike. You’ve engaged with Engineering teams on product & platform development with a thorough understanding of software development processes and project planning. You are pragmatic and detailed in your approach and focus on progress, not perfection. Qualifications Bachelor’s Degree with experience in Computer Science, Software Engineering or other related discipline. 5+ years recent experience as a Technical Programme Manager at a technology/ FinTech company, in Financial Systems. Experience with regulatory compliance in Financial Systems, e.g. SOX, PSD2, or equivalent would be an advantage. Experience in large-scale distributed systems and system architecture. Experience working directly with engineering teams on product development, with a thorough understanding of software development processes, system architecture, and scalability trade-offs. Project planning and execution skills that include reviewing technical design documents, estimating, and scheduling. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Hong Kong Workplace: onsite About Unlimit Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses. Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents. Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography. The Role We have just opened our new office in Hong Kong and are looking for an Office Manager to make it run smoothly every day. You will be the first person our employees, clients and partners meet when they walk through the door, and the one who makes sure everything around them simply works. Beyond daily operations, you will play a key part in the life of the office: client and partner visits, leadership trips, corporate events and summits. Several major events are already planned for the coming months, so you will be hands-on from day one. This is a great opportunity to shape a new office from the very beginning and set the standard for how it looks, feels and operates. What You'll Do Manage day-to-day office operations, facilities and workplace services, ensuring a professional and consistently client-ready environment. Manage relationships with the landlord, building management, utilities, vendors and service providers. Coordinate procurement, office supplies, furniture, maintenance, repairs and office improvements. Coordinate with IT on employee equipment, workplace setup, access and meeting-room technology. Liaise with relevant local authorities and external providers on office-related matters. Provide operational and technical support for client meetings, conferences and corporate events, coordinating room setup, catering, vendors, AV/video-conferencing equipment and on-site logistics. Provide on-site support during events and ensure any facilities, technical or vendor issues are resolved promptly. Support visits of clients, partners and senior management, maintaining a high standard of workplace and guest experience. What We're Looking For 1-3 years of experience in Office Management / Facilities, preferably in an international and client-facing environment. Strong practical experience in facilities, procurement, landlord and vendor management. Experience supporting corporate events, conferences and client meetings, including their operational and technical setup. Strong organisational skills and ability to manage multiple priorities and suppliers independently. Professional communication skills and a strong service-oriented approach. Fluent English, written and spoken Cantonese and/or Mandarin is a plus Right to work in Hong Kong without visa sponsorship Availability to start at short notice is a strong advantage What We Offer Permanent local employment contract with salary paid in HKD The chance to set up and shape a brand-new office from the start Close work with the leadership team, clients and partners Multicultural working environment in a fast-growing global fintech Vacation, sick leave and paid holidays Company-provided laptop Corporate Claude license A company-funded learning budget to keep growing your skills and your career 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: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We’re hiring a Product Manager with deep UX and interaction design expertise to build social experiences around investing and trading at Kraken. You should be comfortable designing flows yourself, building interactive prototypes, and working through interaction details with designers and engineers. You’ll also own the product decisions: which customer problem to solve, what to ship first, and how to measure whether the experience improved. THE OPPORTUNITY - Design complete social journeys. Work through how someone discovers a person, decides to follow them, shares an idea or trade, receives a response, and returns. Connect these interactions into an experience users understand without explanation. - Make the interaction details work. Shape navigation, information hierarchy, copy, defaults, gestures, and feedback. Specify what happens when a feed is empty, a post fails, content loads slowly, or someone changes their mind. - Prototype before committing to a build. Turn ideas into interactive prototypes that communicate the intended behavior. Explore alternatives, test the uncertain parts, and give engineering clear flows, states, and acceptance criteria. - Use psychology to improve participation. Understand why people hesitate to post, seek recognition, follow strangers, or respond to others. Translate those motivations into decisions about audience visibility, prompts, reputation, feedback, and the effort required to contribute. - Observe users and fix what gets in their way. Run usability sessions, watch people complete tasks, and combine those observations with funnel data. Identify where people misunderstand the product, lose confidence, or abandon an action. - Design for first use and repeated use. Make the experience useful before someone has connections. Keep sharing lightweight during an active trading session, with clear control over what becomes public. Test the twentieth interaction as carefully as the first. - Connect design decisions to measurable outcomes. For each significant change, define the expected behavior and how to test it. Track task completion, abandonment, first follows, first contributions, responses, and subsequent retention. Work with data science to evaluate experiments and effects on both contributors and their audiences. - Take the experience through launch. Choose a focused initial scope, resolve trade-offs with engineering, review the implementation against the intended design, and use post-launch evidence to decide what to improve next. WHAT YOU BRING - Has designed and shipped consumer social experiences. Your portfolio shows your contribution to feeds, profiles, sharing, messaging, discovery, or communities—and how the experience changed after launch. - Has strong interaction design craft. You can explain why a flow is structured a particular way, what users will notice first, what they need to understand, and which decisions or steps can be removed. - Can build realistic interactive prototypes. You use Figma, code, AI tools, or a combination to make behavior tangible and testable, including transitions, empty states, and failure states. - Understands behavior through evidence. You can show where user research challenged your assumptions and changed a design. - Can own product outcomes. You can prioritize a problem, define success, interpret funnel and cohort data, and explain whether an experiment produced a meaningful improvement. - Understands the context of social finance. You account for how credibility, incentives, reputation, and visibility of financial activity affect what people trust and choose to share. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We’re hiring a Product Manager with deep UX and interaction design expertise to build social experiences around investing and trading at Kraken. You should be comfortable designing flows yourself, building interactive prototypes, and working through interaction details with designers and engineers. You’ll also own the product decisions: which customer problem to solve, what to ship first, and how to measure whether the experience improved.   THE OPPORTUNITY - Design complete social journeys. Work through how someone discovers a person, decides to follow them, shares an idea or trade, receives a response, and returns. Connect these interactions into an experience users understand without explanation. - Make the interaction details work. Shape navigation, information hierarchy, copy, defaults, gestures, and feedback. Specify what happens when a feed is empty, a post fails, content loads slowly, or someone changes their mind. - Prototype before committing to a build. Turn ideas into interactive prototypes that communicate the intended behavior. Explore alternatives, test the uncertain parts, and give engineering clear flows, states, and acceptance criteria. - Use psychology to improve participation. Understand why people hesitate to post, seek recognition, follow strangers, or respond to others. Translate those motivations into decisions about audience visibility, prompts, reputation, feedback, and the effort required to contribute. - Observe users and fix what gets in their way. Run usability sessions, watch people complete tasks, and combine those observations with funnel data. Identify where people misunderstand the product, lose confidence, or abandon an action. - Design for first use and repeated use. Make the experience useful before someone has connections. Keep sharing lightweight during an active trading session, with clear control over what becomes public. Test the twentieth interaction as carefully as the first. - Connect design decisions to measurable outcomes. For each significant change, define the expected behavior and how to test it. Track task completion, abandonment, first follows, first contributions, responses, and subsequent retention. Work with data science to evaluate experiments and effects on both contributors and their audiences. - Take the experience through launch. Choose a focused initial scope, resolve trade-offs with engineering, review the implementation against the intended design, and use post-launch evidence to decide what to improve next.   WHAT YOU BRING - Has designed and shipped consumer social experiences. Your portfolio shows your contribution to feeds, profiles, sharing, messaging, discovery, or communities—and how the experience changed after launch. - Has strong interaction design craft. You can explain why a flow is structured a particular way, what users will notice first, what they need to understand, and which decisions or steps can be removed. - Can build realistic interactive prototypes. You use Figma, code, AI tools, or a combination to make behavior tangible and testable, including transitions, empty states, and failure states. - Understands behavior through evidence. You can show where user research challenged your assumptions and changed a design. - Can own product outcomes. You can prioritize a problem, define success, interpret funnel and cohort data, and explain whether an experiment produced a meaningful improvement. - Understands the context of social finance. You account for how credibility, incentives, reputation, and visibility of financial activity affect what people trust and choose to share.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Poland; Czech Republic; Latvia; Spain; Albania; Ukraine; Lithuania; Greece; Bosnia & Herzegovina; Croatia; Estonia; Serbia; Armenia; Portugal; Italy; France / Paris; Malta; Türkiye; Montenegro; Romania Workplace: Remote Location: Remote Employment: Full-Time Start Date: ASAP Experience: 5+ years Language: Fluent English required | French is a PLUS Industry: Cloud Infrastructure / GPU Compute / AI Infrastructure ABOUT THE ROLE   You are the technical owner of our B2B customers, from the first call to production and every month after. You run discovery, design the setup, prove it in a POC, onboard it and keep it healthy. At its core this is a pre-sales and technical account management role. You know our stack well enough toanswer most customer questions yourself, and you bring in our engineers only for the deep end, with thecontext and first diagnosis already done.This is a new, hands-on individual contributor role. No quota. You work side by side with sales and reportto the Compute product lead. Today the product lead covers this job on top of product, while newcustomer channels open at three times the pace of earlier this year.   Responsibilities   What you'll do   Pre-sales - Run technical discovery with customers' engineers: workload, models, serving stack, latency and throughput targets, storage, network, security and data-residency constraints. - Turn that into the right setup and size it: model to GPUs, CPU, RAM, NVMe and network per server, and bare metal vs full-server VM vs instances vs managed inference. - Answer technical due diligence: bill of materials, PCIe topology, NICs and network design,out-of-band access, data-centre power and connectivity, security and compliancequestionnaires. You answer most of it yourself, with infrastructure and security behind you forthe deep end. - Represent us in enterprise and public-sector workshops, mapping our stack against theirs: Kubernetes, identity, logging, storage APIs, integration. - Check every technical commitment before it reaches a contract: SLA, performance minimums, acceptance tests, dates for roadmap features.   Proofs of concept - Design each POC with written success criteria, a timebox, reserved capacity and a data-handling plan. - Run the benchmarks with the customer, using standard tools (NCCL tests, fio, vLLM or SGLang load tests) or their own method. Write up the results and the go or no-go.   Onboarding - Own technical onboarding end to end: accounts and access, private networking, public IPs and firewalling, load balancing, storage, server handover against an acceptance checklist, first workload live. - Work with infrastructure on new server batches, from burn-in to handover.   Running accounts - Be the technical owner for a portfolio of enterprise accounts after go-live. First line on their technical questions. Triage to SRE and infrastructure with full context, and own each issue to root cause and closure, not to the reboot. - Lead incident communication, write customer-facing RCAs, report uptime against each SLA, run monthly technical reviews, and plan maintenance with customers across time zones. - Spot risk early (repeat hardware failures, firmware and security advisories, capacity gaps) and flag it to the account team.   Building the playbook - Turn repeat work into assets: a technical due-diligence pack, a POC playbook, onboarding docs, reference architectures for shared storage, private networking and inference at scale. - Bring customer requirements back to product and engineering, with evidence.   How you work with the team - Sales wins accounts; you make them work. Every deal sales closes lands with you, and you are in the room before it closes so the contract matches what we can deliver. - Sales owns relationships, pricing, contracts and quota. - Support handles day-to-day tickets. SRE and infrastructure fix the platform and the fleet. They respond to issues; you get ahead of them and own the customer side end to end. - Product and engineering get the customer's voice from you, backed by data.   What the role is not: a quota-carrying sales role, a support queue, an on-call SRE rotation, or a people-management role.   How we measure success - We measure you on time to first workload, POC conversion, and escalations avoided: the customer questions you close without pulling in engineering, and how often we catch a problem before thecustomer does. Your first 90 days: - First month: learn the platform and the fleet, take over the technical side of our live enterprise accounts and the POCs in flight, and own onboarding for December's new server deliveries. By the end of it, you run your portfolio on your own. - By day 60: a POC playbook and a technical due-diligence pack are live and in use. - By day 90: every enterprise account has a monthly technical review and an uptime report against its SLA, and the first reference architectures are published. Pragmatike -is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Algiers, Algeria Workplace: hybrid Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values. About the role We are looking for a senior Android developer to join our tech hub and support our growth and expansion. You will be part of the engineering team, working with a high-quality code base and the latest tools, where you will promote your skills to be an expert in complex frontend development in Android. Your primary focus will be the development of mobile applications and their integration with back-end services. You will be working alongside other engineers and developers working on different layers of the infrastructure. About your role as "Mobile Android Engineer" Design and build mobile applications for Android Ensure the performance, quality, and responsiveness of applications Collaborate with a team to define, design, and ship new features Identify and correct bottlenecks and fix bugs Help maintain code quality, organization, and automatization Participate in brainstorming sessions and contribute ideas to our technology, algorithms, and products. Work with the engineering and design teams to understand end-user requirements, formulate use cases, and then translate that into a pragmatic and effective technical solution Dive into difficult problems and successfully deliver results on schedule About your experience Must have technical skills A minimum of 4 years of experience in developing Android Apps. Language: Android, Kotlin Familiarity with cloud message APIs and push notification Web architecture: Rest and restful APIs, micro-services Version control: GIT Nice to have technical skills (Strongly advised) Containers: Docker, Kubernetes Caching, Redis server Scaling, Web load balancing Experience in a rapidly growing company in the mobility, on-demand, or fintech space is a plus BSc/MSc in Engineering, Computer Science, or relevant field At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen. Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together. We look forward to receiving your application! Best of luck, Your Yassir TA Team