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Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Research Engineer on the Latency & Throughput team, you will push the frontier of LLM inference by researching and prototyping techniques that reduce latency and increase throughput — from speculative decoding and quantization to KV compression and new attention variants. The team sits at the intersection of research and production: you will take ideas from recent literature, form hypotheses, run experiments, and ship the techniques that prove out into our serving stack. This role sits between our inference engineers, who own the production serving stack, and our research scientists, who focus on paper-level contributions. You will be more science-focused than a pure engineer: you are expected to generate new ideas, keep up with the state of the art, and implement proof-of-concepts that bridge the gap between academic results and production impact. Some techniques you explore will be lossy or require integration into training — retraining models, tuning architectures, or training auxiliary models to improve inference. You will work closely with the Inference Foundation and Kernels teams, who turn your validated techniques into production recipes, and with pretraining and RL teams when your work touches model training. Success is measured by demonstrated latency or throughput gains, first at small scale, then adopted in production. What You Will Do - Research and prototype inference techniques — speculative decoding, quantization, KV compression, watermarking, and new model architectures — by reading recent literature and forming testable hypotheses. - Design and run experiments to validate or refute ideas, iterating quickly on small-scale setups before proposing production integration. Demonstrate clear latency or throughput gains without unacceptable quality loss. - Collaborate with the Inference Foundation team to integrate validated techniques into the vLLM-based serving stack. - Partner with pretraining and RL teams when techniques require co-training, retraining, or training auxiliary models to improve inference. Build the right tooling and validation platforms to facilitate AI-driven inference research. What We're Looking For - A strong ML background with solid knowledge of LLM training techniques — architecture, tokenization, fine-tuning, and evaluation. - Hands-on experience with Python and PyTorch; you write clean, experimental code and iterate fast. JAX is acceptable with strong Python proficiency. C++ and Rust are not required, CUDA and GPU knowledge is expected but hands-on experience is not required. - Research experience of some form: a thesis, publications, a dedicated research project, or efficiency-oriented work in a lab or industry research setting. A PhD is not required, but we are looking for genuine research depth. - A track record of conducting experiments: forming hypotheses, designing controlled comparisons, and drawing clear conclusions from results. - Familiarity with the state of the art in LLM inference — you know what has been tried, what works, and where the open problems are. - Self-starter, low-ego, and collaborative. You are comfortable with ambiguity, negative results, and are eager to take matters into your own hands. - Inference or serving experience is a plus, not a requirement. Prior work with vLLM, production LLM deployments, or serving systems will help you ramp up faster. Location and Remote This role is based in our Paris or London offices (hybrid). We will prioritize candidates who reside in the Paris area or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. For senior profiles, we will also consider remote candidates based in France. In that case, we ask all new hires to visit our Paris office: - For the first week of their onboarding (accommodation and travel covered) - Then at least 3 days per month 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: Amsterdam, Netherlands Are you comfortable navigating complex software systems, working with coding agents, and defining what makes developer tools actually useful? Do you want to shape how developers and AI work together inside IDEs? About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do Agentic development is changing how software gets built. Developers no longer just chat with AI – they delegate tasks, run parallel agent sessions, and steer autonomous changes. As agents take on more work, reviewing and owning the output is becoming the hardest part of the process. JetBrains Air is our open system for agentic development. It brings tools like Codex, GitHub Copilot, Claude Agent, Gemini, and Junie directly into JetBrains IDEs, providing an agentic-first user experience. We are looking for a Senior Product Manager to lead key areas of Air. You’ll take ownership of high-impact workflows, work closely with cross-functional teams (including software engineers, designers, ML researchers, analysts, DevRel, and product marketing), and turn technical complexity into clear product direction. Day to day, you will: Take end-to-end ownership of key parts of Air in JetBrains IDEs, driving work from problem framing and discovery to delivery, adoption, and iteration. Define and refine core agentic workflows, including task delegation, session monitoring, steering, and code review. Model complex user flows, system states, permissions, and integration schemes to guide engineering and design decisions. Maintain a transparent roadmap that balances quick improvements with long-term strategic investments. Define telemetry, design experiments, analyze product data, and make evidence-based roadmap decisions. Study how developers interact with leading AI agents and tools to inform product priorities. Engage with the Agent Client Protocol (ACP) ecosystem and collaborate with partners building on it. Partner with enterprise sales and support teams to address governance, privacy, and control requirements. What you’ll bring A systems-thinking mindset that easily breaks down complex architectures, workflows, and dependencies. A data-driven approach to product decisions, including hands-on experience querying and analyzing telemetry. Active personal experience using coding agents and clear perspectives on where current AI tools succeed and fail. Strong product intuition for complex technical user experiences and developer workflows. Clear, concise, and collaborative communication skills with the ability to explain complex technical concepts simply and build alignment across diverse groups of stakeholders. Comfort navigating fast-changing technical landscapes with high ambiguity. What you’ll need Proven experience shipping end-user products as a product manager or in a similar role. Strong technical grounding in software development workflows, including IDEs, git, code review, CI/CD, and package management. A hands-on technical background sufficient to collaborate closely with software and ML engineers. An understanding of core AI and agent concepts, including tool use, protocols (MCP/ACP), context retrieval, evaluations, and latency/cost trade-offs. The ability to write SQL or Python to analyze product metrics and experiment results independently. Fluency in English, both written and spoken. What success looks like In your first 6 to 12 months, success in this role means: Driving measurable growth in active Air users and improving weekly/monthly retention (D7/D30). Increasing agent session completion rates and the proportion of agent-generated changes accepted by developers. Establishing clear, telemetry-backed decisions across your product roadmap areas. Delivering validated product hypotheses consistently each quarter. Contributing directly to JetBrains AI revenue growth and overall IDE value. Why join JetBrains? Strong base salary – We offer competitive pay that reflects your skills and experience. Flexible work schedule – Enjoy the freedom to work from home or from the office. Extra time off – More days to relax, recharge, and do the things you love. Learning and development opportunities – Access to conferences, courses, and language classes. Free meals and snacks – Lunch and refreshments provided to keep you fueled. Health and wellness – On-site gyms or sports club stipends. Internal events – Company-wide celebrations and team gatherings. We are an equal opportunity employer. We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. If this sounds like a challenge you'd enjoy, send us your resume and a short note on why you're interested in Air. #LI-KL1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Serbia; Spain Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Machine Learning Engineer. Your main tasks will be: Set the ML direction: choose which strategic bets to make and tie each one to clear business needs. Drive LLM post-training and model adaptation end to end, from dataset construction to fine-tuning and preference optimization. Design and build agent harnesses and tool-using LLM systems. Shape multi-agent development workflows that make the team faster and more effective. Build evaluation frameworks and LLM-as-a-judge systems that reliably predict real-world performance. Improve dialogue quality across memory, emotional intelligence, persona consistency, safety and anti-loop behavior. Ship production systems that directly shape user experience, retention and monetization. We expect from you: Python expert level: clean code, typing, async, multiprocessing, profiling, debugging, notebooks + production code.Trainsformers. Training and fine-tuning LLMs. SFT, LoRA/QLoRA, PEFT. Preference optimization: DPO / ORPO / SimPO / CPO / GRPO or willingness to quickly go deep. Building datasets for LLM training: cleaning, filtering, deduplication, preference pairs, synthetic data, hard negative mining. LLM evaluation: offline evals, pairwise evals, LLM judges, human annotation. Agent harness design: tool calling, function calling, structured outputs, retries, routing, state management, memory/context, guardrails. Production LLM integration: APIs, streaming, batching, fallbacks, cost/latency trade-offs. Observability for agents: traces, tool-call logs, transcript analysis, failure clustering. Strong understanding of transformer architecture and modern LLM behavior. Accuracy with dtype/device/batching: fp32/fp16/bf16, quantization, CUDA memory, avoiding dtype mismatch bugs. Git, Docker, Linux, basic MLOps. Fluent Russian, ready to work in CET (±2) hours. Nice to have: experience beyond text (computer vision, image generation, multimodal), long-running conversations and character consistency, vLLM / TGI / SGLang, DeepSpeed / FSDP / Accelerate, quantization, safety classifiers. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: Global, EU We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: join us as a DevOps Engineer with Big Data Skills! Requirements We're looking for a DevOps engineer with 4+ years of hands-on experience, at least 2 of them spent building and running data or analytics infrastructure. You've designed systems that move, store, and serve data at scale. Warehouse maintenance is part of your daily routine, and writing Python, Bash, or SQL scripts is second nature. You treat data security as a core responsibility: you protect confidentiality, enforce zero-trust, least-privilege access, and automate everything you touch. Solid IaC skills are a must. IaC & CI/CD: Production experience with Terraform, Ansible, and Helm, plus CI/CD systems (GitLab CI, GitHub Actions, Jenkins, or ArgoCD). We expect you to design pipelines, not just use them. Containerization: Working knowledge of Docker and Kubernetes, including running data workloads on it (like Spark on Kubernetes, stateful services, operators). Cloud: Solid experience with AWS (S3, EC2, EMR, Redshift, Glue, IAM) or an equivalent cloud provider. Linux & Networking: Solid Linux administration skills and foundational networking knowledge relevant to distributed systems. Analytical Databases: Hands-on operation of ClickHouse and/or the Hadoop ecosystem (HDFS, Hive, YARN), including cluster setup, tuning, and scaling. Data Warehouses: Practical experience with Snowflake or Redshift, covering warehouse sizing, workload management, performance tuning, and cost control. Large Databases: Experience administering databases at terabyte scale: replication, backup and restore strategies, partitioning, and migrations with minimal downtime. SQL & Scripting: Strong SQL skills, including reading execution plans and optimizing heavy queries. Confident in Python and Bash for automation, data parsing, and investigation. Data Lakes & Object Storage: Working knowledge of S3-compatible storage, columnar formats, partitioning strategies, and data lifecycle management. Orchestration & Streaming: Familiarity with Airflow (or similar orchestrators) and Kafka, and how they fit into data pipelines. Extra Credit / Big Pluses Experience with Tableau, Power BI, Looker, Superset, or similar BI tools, including administration, performance tuning, and data source design. Hands-on experience with dbt and analytics engineering practices. Experience with open table formats (Apache Iceberg, Delta Lake, Hudi) and query engines like Trino/Presto or Athena. FinOps experience in data platforms: managing Snowflake credits, Redshift clusters, and storage costs at scale. Spark performance tuning and job optimization. Change data capture (CDC) with Debezium or similar tools. Data quality tooling (Great Expectations, Soda) integrated into CI/CD. Golang or Rust tooling experience. Knowledge of data governance and compliance (GDPR, data retention, PII handling). Understanding of business processes in the FinTech/Banking/Crypto sector. Responsibilities Infrastructure Ownership: Own the infrastructure behind our data and analytics platform, from provisioning to daily operations. Keep it reliable, scalable, and cost-efficient as data volumes grow. Infrastructure as Code: Provision and configure all data infrastructure with Terraform, Ansible, and Helm. CI/CD Pipelines: Build and maintain delivery pipelines for both infrastructure and data code (ETL jobs, Airflow DAGs, dbt models, schema migrations), with automated testing, safe rollouts, and fast rollback. Database & Warehouse Operations: Maintain ClickHouse, Snowflake, Redshift, and вPostgreSQL at multi-terabyte scale, handling replication, backups, upgrades, capacity planning, and disaster recovery. Data Lake Storage: Manage S3-compatible data lake storage, including partitioning, file formats, and lifecycle policies. Automation & Script Optimization: Refactor and automate Python, Bash, and SQL scripts to cut runtimes and eliminate manual work. Performance & Cost: Right-size clusters and warehouses, tune heavy queries, and keep compute and storage spend under control. Monitoring & Alerting: Cover data infrastructure with metrics, logs, and alerts for cluster health, pipeline SLAs, and job failures. Security & Access Control: Enforce least-privilege access, secrets management, encryption, and auditability for sensitive data. BI Infrastructure: Support the infrastructure behind Tableau or similar BI tools. Big Data Platforms: Deploy, tune, and troubleshoot Hadoop, Spark, and Kafka clusters in production. Collaboration: Work with data engineers, analysts, and developers to turn their workloads into solid infrastructure decisions. Security & Access Control: Implement role-based access, secrets management, encryption at rest and in transit, and auditability for sensitive datasets in line with regulatory requirements. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.

Location: EMEA; Hungary; Portugal; Spain; Poland Workplace: Remote ✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: - Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time - Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek - A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance - The only B Corp-certified global employment platform ~ independently verified since 2023 Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one. And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply. THE ROLE Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be currently based within the EMEA region. Ever built an automation that saved hours of manual work, only to discover the real problem was the process itself? That's exactly the kind of challenge you'll tackle at Oyster. We help companies employ people across dozens of countries. Behind every successful payroll cycle are hundreds of details that need to be right: benefits, expenses, time off, timesheets, salary changes, and country-specific requirements. The challenge? Not all that information arrives neatly packaged. Some comes through payroll platforms and service systems. Other details are buried in emails, contracts, receipts, attachments, or requests that need a human to make sense of them. Your job is to turn that complexity into reliable, automated workflows. You'll identify what's slowing teams down, question whether certain steps are needed at all, and build solutions that turn messy information into accurate, validated, payroll-ready data. This is a hands-on role where you'll take ownership of defined automation projects, from understanding the problem and building a solution to launching it, monitoring performance, and making improvements. You'll work with tools like n8n, Alteryx, SQL, APIs, and AI, but you won't be expected to use AI for everything. Sometimes the smartest solution is a simple rule, a better process, or preventing an issue before it happens. And because your work directly affects people's pay, getting things right matters just as much as making them faster. The goal? Less repetitive work, fewer avoidable issues, and smoother, more predictable payroll cycles across countries. HERE'S WHAT YOU'LL BE WORKING ON: - Understand what really happens behind the scenes. Map payroll processes from start to finish, including how information moves between systems, where validation and calculations happen, what needs reconciling or reporting, and how deadlines, country-specific rules, and exceptions affect the process. - Find the work worth automating. Identify repetitive tasks, manual checks, and recurring problems. Use data to assess their impact on customers and Team Members, how often they happen, the risks involved, implementation effort, and whether a solution can work across countries. - Fix the process, not just the task. Question unnecessary steps and look for ways to prevent missing information, avoidable requests, and errors before they reach payroll. - Turn expert knowledge into reliable rules. Work with payroll and operations specialists to translate complex policies and requirements into clear, documented, version-controlled logic, including effective dates and required data. - Put AI to practical use. Use large language models (LLMs) to understand requests, extract information from documents and emails, and direct cases to the right place. Build validation checks so AI-generated outputs are verified before they affect payroll. - Build automations that actually run. Create, connect, and maintain workflows using n8n, Alteryx, and LLM-based tools, integrating service platforms, payroll systems, databases, APIs, and internal tools. - Know when not to automate with AI. Choose between rule-based logic, workflow automation, AI, and human review depending on the task. Keep predictable legal and policy requirements in transparent, auditable rules, and document your decisions. - Build reliability into every workflow. Include audit trails, error handling, alerts, exception queues, and appropriate approval controls. Make sure records are never silently changed, dropped, or excluded. - Test before it matters. Build prototypes quickly, then test them against real payroll scenarios, unusual cases, and exceptions. Use shadow testing and parallel runs before introducing changes that affect live payroll. - Make payroll operations more proactive. Automate timely information sharing, payroll-input checks, the identification of exceptions that affect pay, and reconciliation between payroll and invoices. - Own what happens after launch. Track performance, measure whether automations deliver the expected improvements, troubleshoot issues, and improve or retire solutions that aren't working. - Work with the teams building the bigger picture. Partner with Product, Engineering, and Data when a problem needs a lasting platform-level solution. Turn operational insights into clear requirements and working examples they can build on. - Handle sensitive information responsibly. Apply privacy, security, and responsible-AI standards, especially when working with health, leave, or other sensitive payroll information. Make sure uncertain or compliance-sensitive cases reach the right people for review. You'll likely enjoy this role if you like getting into the details of how things work, spotting opportunities others miss, and building solutions yourself. HERE'S THE EXPERIENCE WE'RE LOOKING FOR: - 3+ years of relevant experience in operations automation, process improvement, business or process analysis, payroll operations, internal tooling, or a similar field. - You've built automations yourself. You've taken workflows into production using tools such as n8n, Alteryx, Make, Zapier, Power Automate, or similar, and have experience keeping them running. We're looking for someone who builds, not just someone who designs or documents solutions. - You've used LLMs to solve practical problems. You know how to turn unstructured text or documents into usable data and can recognise when a simpler, rule-based solution is the better choice. - You're comfortable connecting systems. You've worked with APIs, webhooks, and integrations to get different tools and data sources working together. - You know your way around SQL and data. You can investigate, combine, validate, and analyse information from multiple sources, even when the underlying data is complex. - You can bring structure to messy processes. You're able to turn inconsistent inputs, unusual cases, and complicated requirements into clear rules and data requirements. - You take accuracy seriously. You understand the importance of checks, controls, and investigating discrepancies, particularly when errors could affect someone's pay. - You can explain technical ideas clearly. You're comfortable working with non-technical colleagues, asking the right questions, and constructively challenging requests when automation isn't the best answer. - You take ownership beyond the build. You can move from identifying a problem through implementation, testing, launch, monitoring, and ongoing maintenance. YOU DON'T NEED TO TICK EVERY BOX BELOW, BUT ANY OF THESE WOULD HELP YOU GET UP TO SPEED: - Experience with multi-country payroll, Employer of Record (EOR) services, finance operations, or HR operations. - Understanding of payroll concepts such as gross-to-net calculations, payroll cut-offs, statutory deductions, taxable benefits, expense taxability, and reconciliation. - Experience building tools that validate or reconcile payroll or financial data. - Familiarity with Zendesk or other customer service platforms and their automation capabilities. - Hands-on experience with n8n or Alteryx specifically, although comparable automation tools are equally relevant for the core requirements. - Experience with prompt design, AI agents, or retrieval-augmented generation (RAG) workflows. - JavaScript or Python skills for data transformations. - Experience measuring operational improvements through metrics such as first-time accuracy, processing time, service-level performance, or error rates. THIS MIGHT NOT BE RIGHT FOR YOU IF... - You'd rather design automation strategies or workflows than build, launch, and maintain them yourself. - You prefer using AI for every problem, even when a straightforward, auditable rule would be more reliable. - You measure success mainly by speed or the number of automated tasks, rather than accuracy, proper approvals, and resolving discrepancies. - You don't enjoy digging into complicated processes, inconsistent information, or country-specific exceptions. - You're looking for full ownership of company-wide automation strategy. Here, you'll own clearly defined projects and work closely with operational specialists and engineering teams on broader changes. HOW WE WORK TOGETHER AT OYSTER Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team. Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us. HOW YOU WORK With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster: - Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere. - Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country. - Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service. - Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options. - Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally. - WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly. ✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE  We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment. Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations. Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.

Location: Tas-Sliema, Malta; Sofia, Bulgaria; London, United Kingdom Workplace: hybrid EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people . With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for a skilled and highly driven Senior Casino Account Manager on Malta! About the job: In this role, you will be responsible for managing and growing strategic operator relationships, ensuring clients maximize the value of our casino portfolio while driving revenue growth, retention, and long-term partnerships. You will work closely with operators to develop commercial strategies, optimize game performance, coordinate successful game launches, and identify new business opportunities. You will collaborate cross-functionally with Product, Sales, Integrations, Compliance, Legal, Vendor Management teams to deliver an exceptional customer experience. This is an ideal opportunity for someone with a strong background in iGaming, outstanding relationship management skills, and a passion for delivering measurable business results. Key Responsibilities: Manage a portfolio of strategic casino operator accounts, acting as the primary commercial point of contact. Build and maintain long-term relationships with key stakeholders across client organizations. Develop account strategies to drive revenue growth, player engagement, and market expansion. Identify upselling and cross-selling opportunities across the casino product portfolio (Engage Suite Products and 3rd party Casino Products). Monitor account performance using commercial and operational KPIs, providing data-driven recommendations to improve results. Coordinate the successful launch of new games, promotional campaigns, and product features. Conduct regular business reviews with clients, presenting performance insights and strategic vendor recommendations. Resolve commercial and operational issues proactively while maintaining high levels of customer satisfaction. Monitor market trends, competitor activity, and regulatory developments to identify new opportunities. Represent the company at industry conferences, client meetings, and networking events when required. Mentor junior account managers and contribute to best practices within the Casino Commercial team. Requirements: Essential 5+ years of experience in Account Management, Commercial Management, within the iGaming industry. Strong understanding of online casino products, game content, player behavior, and operator business models. Proven track record of managing high-value B2B accounts and delivering commercial growth. Excellent relationship-building, negotiation, and stakeholder management skills. Strong commercial acumen with the ability to interpret data and translate insights into business opportunities. Experience working with commercial reporting tools. Strong communication and presentation skills. Ability to manage multiple priorities in a fast-paced, international environment. Willingness to travel internationally when required. Preferred Experience working for a platform provider, aggregator. Knowledge of regulated iGaming markets and compliance requirements. Experience launching casino content, promotional tools, or gamification features. Familiarity with BI tools such as Power BI. Additional European language skills are advantageous. Key Competencies : Strategic relationship management Commercial negotiation Revenue growth and account development Customer success Analytical thinking Problem solving Influencing and stakeholder management Presentation and communication Planning and organization Collaboration and teamwork Adaptability and resilience Success in this role will be measured by: Revenue growth across managed accounts. Client retention and satisfaction. Successful delivery of game launches and commercial initiatives. Growth in wallet share and cross-selling opportunities. Achievement of commercial KPIs and revenue targets. Strong internal collaboration and operational excellence. Here's what we offer: Start with a competitive number of annual leave days, increasing as you grow with us. Private Medical Subscription. 3 sick leave days per year, no doctor's note required. Access to online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Gym membership. Meal allowance. Support for New Parents: 21 weeks of paid maternity leave, with the flexibility to work from home full-time until your child turns 1 year old. 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old. Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool? At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Location: AU: Sydney (45 Clarence St) Workplace: Hybrid Xero's Strategy & Operations team partners across the business to shape long term direction, drive critical decision making and translate strategy into execution. We're looking for a Senior Manager, Strategy & Operations to lead Xero's internal AI transformation and deliver high impact strategic programs across the business - someone who moves comfortably between big picture thinking and hands on delivery. As an individual contributor, you'll scope opportunities, build business cases and drive design and implementation across some of Xero's most consequential AI initiatives, connecting the dots between company wide efforts so they add up to something cohesive. You'll coordinate across technical and non-technical stakeholders, close alignment gaps, and keep momentum going - all while building the credibility and influence to get things done without relying on authority. The team & how they connect The team sits at the centre of how Xero plans and executes, designing the systems that help other teams do their best work. They partner closely with leaders across the business to structure ambiguous problems into clear recommendations, then stay close to delivery to make sure those recommendations land. It's a small, tight knit group that works collaboratively across functions. Initially, the role will focus on - Leading strategic work streams supporting Xero's internal AI transformation, from scoping through to stabilization and adoption - Translating AI ambitions into clear scope, requirements and delivery plans with measurable outcomes - Structuring ambiguous business problems into sharp questions and well reasoned recommendations for senior audiences - Building business cases and bringing commercial judgement to trade offs and investment decisions Where and how you can work This role is based in our Melbourne or Sydney office working in a hybrid model that combines in office collaboration with the flexibility to work from home. Our boost days bring the team together in person for connection and collaborative work, with the rest of the week flexible to suit how you work best. Here are some of the things we're looking for, for this role - Experience at top-tier consulting firm highly preferred; or, comparable experience in strategy, operations, transformation, and/or related roles within a global technology or SaaS environment. - You've led complex, multi stakeholder programs end to end, from problem definition through to delivery - Structured, rigorous thinking comes naturally to you, and you can frame ambiguous problems into credible analyses and clear recommendations - You bring a background in operating model and technology transformation, along with experience and/or aptitude in AI strategy or AI enabled ways of working - You model an AI builder mindset for reimagining workflows, actively building your own AI fluency, and rapidly experimenting - Strong financial and commercial acumen underpins how you build and interrogate business cases - Your written and verbal communication is polished and precise, with deliverables that rarely need heavy editing - You enjoy developing others, whether that's mentoring, giving candid feedback or building team capability 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: Sofia, Bolgaria Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. In this role, you will analyze CAD models and technical drawings, assess manufacturability, calculate costs, and provide DFM feedback to ensure accurate and timely quoting for our customers. This position combines deep technical expertise in manufacturing processes with strong analytical and communication skills. How You’ll Contribute: Analyze drawings and CAD models (in English) Calculate manufacturing costs (materials, machining hours, post-processing) Provide recommendations on manufacturing processes where needed Document and transfer calculations to the Sales/Commercial team Review 3D models and 2D drawings for quoting and manufacturability feedback Organize RFQs and clarify details with Sales and Engineering teams Maintain quote databases and ensure timely updates Deliver high-quality and accurate quotes ideally within 1–2 working hours Support process automation initiatives and workflow optimization What You’ll Bring to Xometry: Education: Higher technical education (Mechanical/Manufacturing Engineer, Process Engineer, or similar) Experience: 6+ years of experience in metalworking / mechanical engineering Technical Expertise: Expert knowledge of machining and fabrication processes – turning, milling, CNC machining, EDM, laser/waterjet/plasma cutting, sheet metal processing, and welding Post-Processing Knowledge: Understanding of post-processing methods – polishing, hardening, heat treatment, anodizing, sand/shot blasting, coatings, and painting Materials Knowledge: Knowledge of different materials (metals, plastics, composites) and their processing properties Language: English level B2+ Customer Focus: Customer-oriented mindset and ability to clearly explain technical details Attention to Detail: Strong attention to detail and ability to work under time pressure Technical Fluency: IT-enthusiast, ready to adopt modern tools and software (CAD/CAM, CRM, cloud systems) Core Technical Expertise: Technical drawing interpretation – proficiency 5/5 Tooling & fixture design for machining, assembly, and welding – proficiency 3/5 Manufacturing processes expertise (laser/waterjet cutting, turning, milling, grinding, EDM, sheet metal fabrication) – proficiency 5/5 Coatings and heat treatment – proficiency 3/5 Labor intensity and manufacturability assessment – proficiency 5/5 CAM programming for CNC (SolidWorks, Fusion 360, CypCut) – proficiency 3/5, with readiness for further training Work Conditions: Full-time remote work (home office), later hybrid (3 days from office) once the office in Sofia is opened Flexible schedule aligned with the US Eastern Time Zone Company-provided desktop PC and monitor Stable high-speed internet and comfortable workspace required Holiday Calendar: EU or local holiday #LI-Remote #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid Xero's Strategy & Operations team partners across the business to shape long term direction, drive critical decision making and translate strategy into execution. We're looking for a Senior Manager, Strategy & Operations to lead Xero's internal AI transformation and deliver high impact strategic programs across the business - someone who moves comfortably between big picture thinking and hands on delivery. As an individual contributor, you'll scope opportunities, build business cases and drive design and implementation across some of Xero's most consequential AI initiatives, connecting the dots between company wide efforts so they add up to something cohesive. You'll coordinate across technical and non-technical stakeholders, close alignment gaps, and keep momentum going - all while building the credibility and influence to get things done without relying on authority. The team & how they connect The team sits at the centre of how Xero plans and executes, designing the systems that help other teams do their best work. They partner closely with leaders across the business to structure ambiguous problems into clear recommendations, then stay close to delivery to make sure those recommendations land. It's a small, tight knit group that works collaboratively across functions. Initially, the role will focus on - Leading strategic work streams supporting Xero's internal AI transformation, from scoping through to stabilization and adoption - Translating AI ambitions into clear scope, requirements and delivery plans with measurable outcomes - Structuring ambiguous business problems into sharp questions and well reasoned recommendations for senior audiences - Building business cases and bringing commercial judgement to trade offs and investment decisions Where and how you can work This role is based in our Melbourne or Sydney office working in a hybrid model that combines in office collaboration with the flexibility to work from home. Our boost days bring the team together in person for connection and collaborative work, with the rest of the week flexible to suit how you work best. Here are some of the things we're looking for, for this role - Experience at top-tier consulting firm highly preferred; or, comparable experience in strategy, operations, transformation, and/or related roles within a global technology or SaaS environment. - You've led complex, multi stakeholder programs end to end, from problem definition through to delivery - Structured, rigorous thinking comes naturally to you, and you can frame ambiguous problems into credible analyses and clear recommendations - You bring a background in operating model and technology transformation, along with experience and/or aptitude in AI strategy or AI enabled ways of working - You model an AI builder mindset for reimagining workflows, actively building your own AI fluency, and rapidly experimenting - Strong financial and commercial acumen underpins how you build and interrogate business cases - Your written and verbal communication is polished and precise, with deliverables that rarely need heavy editing - You enjoy developing others, whether that's mentoring, giving candid feedback or building team capability 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: Kazakhstan, Georgia, Serbia Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. In this role, you will analyze CAD models and technical drawings, assess manufacturability, calculate costs, and provide DFM feedback to ensure accurate and timely quoting for our customers. This position combines deep technical expertise in manufacturing processes with strong analytical and communication skills. How You’ll Contribute: Analyze drawings and CAD models (in English) Calculate manufacturing costs (materials, machining hours, post-processing) Provide recommendations on manufacturing processes where needed Document and transfer calculations to the Sales/Commercial team Review 3D models and 2D drawings for quoting and manufacturability feedback Organize RFQs and clarify details with Sales and Engineering teams Maintain quote databases and ensure timely updates Deliver high-quality and accurate quotes ideally within 1–2 working hours Support process automation initiatives and workflow optimization What You’ll Bring to Xometry: Education: Higher technical education (Mechanical/Manufacturing Engineer, Process Engineer, or similar) Experience: 6+ years of experience in metalworking / mechanical engineering Technical Expertise: Expert knowledge of machining and fabrication processes – turning, milling, CNC machining, EDM, laser/waterjet/plasma cutting, sheet metal processing, and welding Post-Processing Knowledge: Understanding of post-processing methods – polishing, hardening, heat treatment, anodizing, sand/shot blasting, coatings, and painting Materials Knowledge: Knowledge of different materials (metals, plastics, composites) and their processing properties Language: English level B2+ Customer Focus: Customer-oriented mindset and ability to clearly explain technical details Attention to Detail: Strong attention to detail and ability to work under time pressure Technical Fluency: IT-enthusiast, ready to adopt modern tools and software (CAD/CAM, CRM, cloud systems) Core Technical Expertise: Technical drawing interpretation – proficiency 5/5 Tooling & fixture design for machining, assembly, and welding – proficiency 3/5 Manufacturing processes expertise (laser/waterjet cutting, turning, milling, grinding, EDM, sheet metal fabrication) – proficiency 5/5 Coatings and heat treatment – proficiency 3/5 Labor intensity and manufacturability assessment – proficiency 5/5 CAM programming for CNC (SolidWorks, Fusion 360, CypCut) – proficiency 3/5, with readiness for further training Work Conditions: Full-time remote work (home office) Flexible schedule aligned with the US Eastern Time Zone Company-provided desktop PC and monitor Stable high-speed internet and comfortable workspace required Holiday Calendar: EU or local holiday #LI-Remote #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Sofia, Bulgaria Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. In this role, you will provide technical leadership to the engineering and sourcing teams, ensuring accurate manufacturing cost assessments and high-quality quotations. You will act as the primary technical expert for complex parts and critical commercial opportunities, support customer and manufacturing partner discussions, and help engineers develop their technical expertise. This position combines strong mechanical and manufacturing engineering knowledge with sound technical judgment, leadership, and communication skills. How You’ll Contribute: Provide technical leadership and guidance to engineers involved in sourcing, cost estimation, and quoting Act as the primary technical expert for complex projects and critical commercial opportunities Review CAD models and technical drawings to assess manufacturing complexity, feasibility, and production requirements Guide the selection of manufacturing processes, materials, and post-processing methods Review and validate the technical content of quotations, including manufacturing assumptions, cost calculations, and specifications Lead technical discussions with customers and manufacturing partners to clarify requirements, resolve challenges, and align on feasible solutions Oversee the assignment of technical tags and ensure consistent categorization of parts by process, material, and complexity Support the team in prioritizing complex requests and resolving technical escalations Mentor junior engineers, share manufacturing knowledge, and provide constructive feedback on their assessments Improve technical review practices, quoting consistency, and collaboration between Engineering, Sourcing, and Sales What You’ll Bring to Xometry: Education: Higher technical education in Mechanical Engineering, Manufacturing Engineering, or a related field Manufacturing Experience: Proven experience in a manufacturing environment involving complex parts, components, or products Leadership Experience: Previous experience as a technical lead, lead engineer, or senior engineer providing guidance to others Technical Expertise: Strong knowledge of machining and fabrication processes, including CNC turning and milling, sheet metal processing, cutting, and welding Cost Estimation: Experience assessing manufacturing costs, including materials, machining time, tooling, and post-processing Drawing & CAD Interpretation: Ability to review 3D CAD models and 2D technical drawings, identify manufacturing challenges, and evaluate proposed solutions Technical Judgment: Ability to validate quotations, identify missing information, and explain technical assumptions clearly Language: English proficiency at B1–B2 level Communication: Ability to lead technical discussions with customers, manufacturing partners, and internal teams Mentoring: Ability to support engineers’ development through practical guidance and knowledge sharing Prioritization: Ability to remain effective under pressure and manage multiple requests and competing priorities What We Offer: Fully remote work at first, later in Sofia - hybrid (3 days from office) once the office is opened Flexible schedule: Plan your working day around collaboration with teams in the US Eastern Time Zone Technical ownership: Take the lead on complex manufacturing challenges and help shape technical decisions Leadership impact: Mentor engineers, share your expertise, and improve the way the team works International collaboration: Work with colleagues, customers, and manufacturing partners across markets Company-provided equipment: laptop Holiday calendar: EU or local holidays, depending on your location Holiday Calendar: EU or local holiday calendar #LI-Remote #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Serbia; Spain Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Lead ML Engineer -LLM Inference & NLP . Your main tasks will be: Speed up and scale LLM inference in production: SGLang, KV and prefix caching, batching, quantization, speculative decoding Run distributed inference for very large models (up to 1T+ parameters) across multi-GPU and multi-node setups Benchmark new GPU servers and hardware, bring them into production and adapt our serving code to them Lead the NLP and CV teams technically: review experiments, set direction, and step in early when something is heading the wrong way Train and fine-tune the language models, and improve the agent harnesses and chat algorithm that run on them Track cutting-edge research and open-source work in inference and post-training, and turn it into the ML roadmap Collaborate closely with the validation, content, and dataset preparation teams to design experiments and measure model quality We expect from you: Deep hands-on experience optimizing LLM inference in production with SGLang, vLLM, or TensorRT-LLM Experience with distributed inference or training of large models: MoE, tensor/expert/pipeline parallelism, multi-node GPU clusters Strong understanding of what makes inference fast: KV cache, attention kernels, batching, quantization, GPU profiling Experience training and fine-tuning LLMs, including post-training (RLHF, DPO, or similar) Proven technical leadership: you've guided engineers through reviews, mentoring and technical decisions while still writing code yourself Proficiency with PyTorch, transformers, and related libraries Experience at AI-focused startups or companies (Character AI, OpenAI, and similar is a strong plus) Backend engineering experience (Python, Go, C#) and knowledge of scalable deployment systems is a significant advantage Advanced English or Russian Nice to have: CUDA or Triton kernel development A computer vision background. We also welcome strong CV leads who have accelerated large generative image or video models Experience with multimodal LLMs First-author papers or notable open-source work, e.g. contributions to SGLang, vLLM, or post-training libraries A degree in CS, math, or physics from a strong program (MSc or PhD) What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: Kazakhstan, Georgia, Serbia Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. In this role, you will provide technical leadership to the engineering and sourcing teams, ensuring accurate manufacturing cost assessments and high-quality quotations. You will act as the primary technical expert for complex parts and critical commercial opportunities, support customer and manufacturing partner discussions, and help engineers develop their technical expertise. This position combines strong mechanical and manufacturing engineering knowledge with sound technical judgment, leadership, and communication skills. How You’ll Contribute: Provide technical leadership and guidance to engineers involved in sourcing, cost estimation, and quoting Act as the primary technical expert for complex projects and critical commercial opportunities Review CAD models and technical drawings to assess manufacturing complexity, feasibility, and production requirements Guide the selection of manufacturing processes, materials, and post-processing methods Review and validate the technical content of quotations, including manufacturing assumptions, cost calculations, and specifications Lead technical discussions with customers and manufacturing partners to clarify requirements, resolve challenges, and align on feasible solutions Oversee the assignment of technical tags and ensure consistent categorization of parts by process, material, and complexity Support the team in prioritizing complex requests and resolving technical escalations Mentor junior engineers, share manufacturing knowledge, and provide constructive feedback on their assessments Improve technical review practices, quoting consistency, and collaboration between Engineering, Sourcing, and Sales What You’ll Bring to Xometry: Education: Higher technical education in Mechanical Engineering, Manufacturing Engineering, or a related field Manufacturing Experience: Proven experience in a manufacturing environment involving complex parts, components, or products Leadership Experience: Previous experience as a technical lead, lead engineer, or senior engineer providing guidance to others Technical Expertise: Strong knowledge of machining and fabrication processes, including CNC turning and milling, sheet metal processing, cutting, and welding Cost Estimation: Experience assessing manufacturing costs, including materials, machining time, tooling, and post-processing Drawing & CAD Interpretation: Ability to review 3D CAD models and 2D technical drawings, identify manufacturing challenges, and evaluate proposed solutions Technical Judgment: Ability to validate quotations, identify missing information, and explain technical assumptions clearly Language: English proficiency at B1–B2 level Communication: Ability to lead technical discussions with customers, manufacturing partners, and internal teams Mentoring: Ability to support engineers’ development through practical guidance and knowledge sharing Prioritization: Ability to remain effective under pressure and manage multiple requests and competing priorities What We Offer: Fully remote work: Work from your home office without a daily commute Flexible schedule: Plan your working day around collaboration with teams in the US Eastern Time Zone Technical ownership: Take the lead on complex manufacturing challenges and help shape technical decisions Leadership impact: Mentor engineers, share your expertise, and improve the way the team works International collaboration: Work with colleagues, customers, and manufacturing partners across markets Company-provided equipment: laptop Holiday calendar: EU or local holidays, depending on your location Holiday Calendar: EU or local holiday calendar #LI-Remote #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Serbia; Spain Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Head of Sales . Your main tasks will be: Bring on influencers and models: find them, negotiate, agree terms, launch. Get to agencies and open up their model pools. Find and integrate partnerships, both technology and promo automation. Run the flow of promo material from our internal team for every model: what's needed, how much, by when. Own the pipeline and the forecast. Revenue and cash flow for the direction sit with you. Set priorities and grow volume partner by partner. Develop the line-up: new SKUs, work on content cost. Rase creator’s monetization on the platform. We expect from you: You've negotiated and closed with talent and agencies yourself: terms, rev share, exclusivity. Your own network inside agencies and among top creators. Not a list you'd have to build from zero. You understand creator-platform economics: rev-share models, creator LTV, the unit economics of onboarding a partner. You build a pipeline, forecast against it, and report on the direction without being chased. You work with Revenue, ARPPU and partner retention as numbers you act on. You can run promo production from the client side: brief the internal team, accept the work, hold the deadlines. Working knowledge of AI tools for creators, photo and video generation. Superset or an equivalent for dashboards. Excel at pivot-table and modelling level. English C1. You build long relationships rather than closing a deal and walking away. You read what motivates different creators. Some want money, some want reach, some want to be handled carefully. You can tell which is which. You're comfortable sitting between the partner outside and production inside. You find your own channels. The market is closed and there won't be much coming to you. You stay calm when something goes wrong and keep both the partner and the team. Discipline in reporting: forecast, actual, and an honest explanation of the gap. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: Remote Workplace: Remote About Eneba At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. ABOUT YOUR TEAM Our Customer Support operation is scaling and becoming more automated. As our first dedicated Customer Support Data Analytics Engineer, you’ll sit in Operations and work hand in hand with the Customer Support team, the Head of Operations, Product, Engineering, Payments and Risk. You’ll explain why customers contact us, measure what self-service and automation actually resolve, and help the team decide what to fix first based on evidence. You’ll work with Databricks (SQL), Kustomer, QuickSight, Mixpanel, Jira and Slack, on top of an internal data layer with Claude integrated. Current focus: AI and automation in support, and building and optimising our support metric stack. RESPONSIBILITIES - Reusable data models: Build and maintain dbt models on Databricks across bronze, silver and gold layers, with tests, column documentation and incremental logic, so the next person can build on them. - Data mapping and feasibility: Know what data we have, what is missing and how it connects. Join sources that were never designed to be joined, audit contact tagging so reporting stays reliable, and judge early whether a requested metric is buildable. If it isn’t, say exactly which data is missing and what it would take to get it. - Metric design: Turn vague requests from the Customer Support team into exact metric definitions, such as repeat contact, automated deflection rate and cost per contact, and prove each one against raw data before it ships. - Dashboards and reporting: Build dashboards end to end in QuickSight and Omni (datasets, calculated fields, filters). Deliver weekly support performance packs with actionable insights and thresholds for ops managers and leadership. - Daily operations pulse: Monitor volumes, backlog, SLAs and CSAT to flag spikes early. Investigate “this number looks wrong” cases by tracing a visual back through the model to the source table. - Contact-driver and feedback analysis: Identify why customers contact us by product, spot growing issues, and analyse QA and customer feedback to surface coaching themes and process gaps. - Automation and self-service: Measure how well AI, bots and help content resolve issues, including repeat contacts and CSAT. - Root-cause partnership: Partner with Product, Payments and Risk to quantify the impact of issues and track fixes. - Planning input: Help forecast contact volume and capacity needs. REQUIREMENTS - 3+ years of experience as a Data Analytics Engineer in Customer Support, contact-centre or CX environments. - Strong SQL, dbt and hands-on experience with BI and reporting tools (we use QuickSight; Power BI, Looker or similar is fine). - Solid knowledge of customer support metrics and contact-driver analysis: CSAT, FCR, handling time, repeat contact, deflection. - Ability to turn insights into operational changes with non-technical stakeholders. - Curiosity about why customers get in touch and what would stop the issue from happening again. You care more about changing outcomes than producing dashboards. - Good written and spoken English (proficiency preferred). NICE TO HAVE - Python or text analytics on ticket data. - Experience with a support CRM’s data - Forecasting experience. - Experience evaluating chatbots or AI agents. - Background in digital goods or gaming. What it’s like to work at Eneba   *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product. *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.   *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice #LI-DNP

Location: London, United Kingdom Who we are OneDome is a fast-growing fintech group, revolutionising the homebuying experience in the UK. We offer an end-to-end digital journey for property transactions, integrating mortgage, legal and protection services into one seamless platform. With multiple acquisitions in the past year, rapid revenue growth and recognition as one of Deloitte’s UK Fastest-Growing Technology Businesses, we are on a mission to build the leading housing ecosystem in the UK. OneDome is in an exciting and highly active phase of growth. This role offers a rare opportunity to join a lean and ambitious M&A function where you will gain end-to-end deal exposure, have the opportunity to work closely with the CEO and take real ownership across live transactions and integrations. The role We are looking for a high-calibre M&A Analyst with at least 3 years’ experience and trained in Investment Banking to support our acquisitive growth strategy. You will work closely with senior leadership, finance and operational teams on the full lifecycle of M&A – from target screening through execution and post-deal integration. This is a highly commercial, fast-paced role suited to someone who thrives in a scaling environment and wants to move beyond advisory into a principle in-house position. Job responsibilities Support the end-to-end M&A process, including origination, evaluation, execution and integration. Build and review financial models, valuations and investment cases for acquisition targets. Conduct financial, commercial and operational due diligence. Prepare investment papers and board materials for senior stakeholders. Assist in deal structuring, SPA review and transaction execution. Work closely with functional teams to support post-acquisition integration. Track market trends, competitors and potential acquisition opportunities. Who you are At least 3 year’s experience in M&A, Transaction Services or Corporate Finance Exceptional foundation in Investment Banking. A strong academic background, ideally from a leading university. Excellent financial analytical skills. Solid understanding of valuation methodologies and deal mechanics. Strong written and verbal communication skills with the ability to present to senior stakeholders. A genuine interest in technology-enabled businesses and scaling platforms. Salary: £55,000 – £60,000 / year

Location: Vilnius; Kaunas About Eneba At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. About Your Team As an FP&A Analyst, you will support all aspects of financial planning, analysis and reporting. You will work closely with the finance team and other departments to report on and analyze financial and operational data, support budgets, forecasts and monthly reports, and track and report on the profitability of company projects. You will help build the reporting system and finance tools, providing financial insights and analysis to support decision-making and ensure the financial health of the company. Responsibilities - Support budget and financial forecast preparation: collaborate with other departments to collect their inputs and aggregate the data into a financial model. - Prepare monthly reporting: compare actuals with budget and forecast, analyze variances and prepare management reports. - Analyze company financial and operational data (e.g. revenues, costs, profitability of projects) and prepare reports about the company’s performance. - Perform periodic cost analysis and financial controls to identify savings opportunities and inconsistencies. - Analyze and reconcile data across departments and sources to establish a single source of truth for key metrics. - Collaborate with cross-functional teams to drive optimization and automatization of financial reporting and control procedures. - Support the implementation and management of the finance ecosystem, including tools, processes, the FP&A platform and the data structure. Requirements - 3+ years’ experience as a financial controller, consulting or similar (a start-up or e-commerce environment experience would be good to have) - BSc or MSc in Finance, Accounting, Economics, Statistics or similar. - AI-driven mindset, with experience using AI tools (e.g., Claude AI, Gemini, etc.) in daily work to improve efficiency and automate tasks. - High attention to detail – you own your numbers and others can fully rely on them. - Ability to proactively identify gaps, take ownership of solutions, and drive them through to completion. - Ability to identify and deliver impactful business improvements, by analyzing financial, business and market data. - Strong knowledge of accounting principles and regulations. - Strong quantitative and analytical competency, proficiency in financial analysis, modeling, and forecasting. - Strong business acumen, and ability to understand business in detail by connecting the responsibilities and inputs of all organizational units. - Excellent written and verbal communication skills, ability to present complex information in an easily understandable way. - Advanced Excel / Google Sheets skills. What it’s like to work at Eneba *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product. *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.   *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

Location: Anywhere in Belgium Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🤹 OPERATIONS AT ALAN Behind Alan's performance lies an Operations team that is anything but back-office. At Alan, Ops is a strategic function: we define the vision, build the systems, and own the outcomes that make our insurance and healthcare products work at scale. As a Ops & Product Builder, you will own some of the most critical and ambiguous challenges in the company. You will shape strategy, drive cross-functional alignment, and build solutions with lasting impact on Alan's P&L and member experience. You’ll be joining 80+ talented, committed, passionate Ops team members working globally on all our services. You’ll be among the team mates structuring this community. Our health services in Belgium is where you can make a difference - In Belgium, our ambition is to build the most integrated care journey in the country. Prevention, care and insurance should work as one, so that every member has a health partner before they get sick, not just after. - We particularly you start by bringing the full ecosystem of our health services to life for our Belgian customers ⭐️ THE CHALLENGE We are looking for entrepreneurs in the mindset with a strong operational background to disrupt (and not only upgrade) the way we traditionally think about insurance or healthcare, and deeply re-engineer the experience we offer to our members . We move fast and are proud to tackle big problems! One of our core value is ownership : we expect you to tackle Alan's problems from end to end with a long-term focus, acting on the behalf of the entire Company, never saying “it’s not my job” and being accountable for your actions. Specifically here: Belgian healthcare is built to react. You get sick, then you get care. Prevention is the exception, and people are left to find their way between GPs, specialists, mutualities and insurers. In France, we’ve shown it can work differently. Mo, our AI medical assistant, answers health questions 24/7. The Shop delivers health products at zero out-of-pocket. Alan Precision makes advanced prevention accessible through blood tests and health plans. Occupational health brings prevention into working life. It all lives in one app. Now we’re building it in Belgium, and you’re the one who makes it happen. Here are some examples of missions that you could lead: - Launch Mo in Belgium Bring our AI medical assistant to Belgium in French and Dutch, with Belgian doctors shaping its answers and taking over when a human is needed. - Advanced prevention for everyone: Generalise advanced blood tests paired with AI health plans into a service every member can easily access. That means building the network of clinical labs, pharmacies and care providers behind Alan Precision. - Prevention programmes for unmet health needs: Spot the gaps in today’s care (weight loss, sleep, women’s health etc) and turn them, with health professionals and product teams, into programmes members love. - A health partner for every workplace: Reinvent occupational health and Health At Work, a channel that reaches a huge share of Belgian workers but struggle to deliver the right impact on prevention. Design the model and take it from idea to launch. This is a 0-to-1 role. You’ll have the autonomy of a founder and the backing of a €800M+ ARR company. What you build will change how hundreds of thousands of people in Belgium look after their health. ⭐️ IF YOU HAVE SOME OF THE FOLLOWING, YOU MAY BE A GREAT FIT ⭐️ - 6+ years in operations, product or entrepreneurship, ideally including launching new services - Fluent in English and French or Dutch (both is a strong plus) - You have a high level of structure and strong analytical skills (including Sql fluency for data analysis) - You’ve taken a product or service from zero to scale and owned high-ambiguity, high-impact initiatives - You set clear vision and roadmaps, lead product reviews and drive make-or-buy decisions - You build and run key partnerships autonomously (providers, pharmacies, labs, health-tech) - You’re strong on AI and automation - You’re a strong mentor who makes the people around you better - You know, or will quickly learn, how Belgian healthcare works: mutualities, practitioners, reimbursement, regulation For this role we are looking to hire within the D–F level range, based in Brussels. 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you’re excited about this opportunity but don’t check every box, we’d love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We’ll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work