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Location: Field - New Jersey This is not a traditional Medical Director role. You’ll sit at the center of how Clover drives clinical quality, cost performance, and provider behavior change across our network—working directly with physicians to improve outcomes at scale. Your mandate is simple: turn data into action, and action into better care, better outcomes and more efficient care. You’ll partner with clinicians on the ground, using data, coaching, and technology ( Clover Assistant ) to influence how care is delivered—day to day, patient by patient. What you'll do: Partner directly with network physicians and care teams to improve quality, outcomes, and total cost of care Encourage network primary care physicians to refer patients to in-home care and other Clover Care Services when clinically appropriate, connecting patients with the care that best supports their needs and outcomes Identify performance gaps and translate data into clear, actionable clinical changes Coach providers (1:1 and group) on evidence-based care, documentation, and population health strategies Drive adoption and effective use of Clover Assistant in real clinical workflows Be the tip of the spear for implementation of clinical programs with partner providers Build trusted relationships with clinicians—serving as a peer advisor, not just a directive voice Collaborate routinely with fellow Medical Directors, account managers, Data Science, Operations, Analytics, and Provider Success to translate insights into coordinated action and align clinical and business goals Support and mentor market-level clinical leaders to drive performance across the network What winning looks like: Measurable improvement in clinical quality metrics and patient outcomes Reduction in total cost of care through better clinical decision-making Increased provider engagement and consistent use of Clover Assistant Providers change behavior—not just understand the data Strong, trusted relationships across the provider network Why this role is hard (and worth it): You’re influencing clinicians—without direct authority Changing clinical behavior is complex and requires trust, credibility, and persistence You’ll need to balance data, clinical judgment, and real-world constraints Your impact is highly visible—and directly tied to patient outcome Who you are: MD or DO with an active, unrestricted license; board certified (Primary Care preferred) Clinically credible with 5+ years of practice experience Experience in value-based care, population health, or risk-based models (MSO, ACO, MA) Proven ability to influence and coach peer clinicians Comfortable using data to drive clinical decisions and behavior change High comfort with EMRs, clinical tools, and technology-enabled care models Strong communicator who builds trust quickly with physicians and care teams Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-HYBRID Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $253,000 — $330,000 USD

Location: Dubai 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 our Account Executive Enterprise, you will be instrumental in shaping Mistral’s adoption with our largest customers across a variety of industry. You will be driving deals end2end: from prospective, first intro call until closing and beyond — together with our dedicated implementation specialist, tech and legal teams.   What You Will Do:   Lead development (strategic outbound and qualified inbound): - Handle strategic outreach as well as warm introductions to promising enterprise customers - Converting inbound deals where upselling / more bespoke agreements can be achieved   Value prop validation for customer: - Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process - Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts   Deal management & closing: - Develop and execute strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level) - Handle customer negotiation end2end, together with our legal and implementation specialist team   Executive Engagement: - Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations - Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives   Technical Aptitude: - Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients - Work side-by-side with our implementation team to ensure that customer’s questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase - Collaborate with our technical team to address any customer inquiries or concerns   Training and enablement: -Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities   What We're Looking For:   - 7-10 years experience in Sales for diverse industry (enterprise sales/consultative selling, ideally selling a highly complex, technical product) - Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field - Significant work experience within AI ecosystem or related data/infrastructure field - Experience at successful fast growing startup, ideally in deep-tech - Strong technical skills to navigate quickly evolving products and steer technical discussions - Excellent English, additional language welcome - Outstanding negotiation and communication skills 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.

Задачи: — Обработка входящих запросов и тикетов клиентов. — Ответы на вопросы клиентов и предоставление точной информации. — Помощь клиентам в решении вопросов, связанных с онбордингом и использованием продукта. — Эскалация сложных вопросов соответствующим внутренним командам. — Отслеживание и сопровождение открытых запросов до их решения. — Поддержание ясной коммуникации с клиентами на протяжении всего процесса. — Ведение точной информации о клиентах и истории коммуникаций в HubSpot. — Обновление статусов клиентов и тикетов. — Отслеживание открытых проблем и обеспечение их решения. — Сбор повторяющихся вопросов и проблем клиентов и передача их соответствующим командам. — Помощь в улучшении внутренних процессов на основе обратной связи клиентов. Требования: — Опыт работы от 1 года в Customer Support, Customer Success, Onboarding, Account Management, Operations или аналогичной роли. — Опыт работы с тикетами, запросами клиентов или очередями поддержки. — Опыт работы с SaaS, fintech, платежами, банковскими или другими B2B технологическими продуктами будет плюсом. — Хорошие письменные и устные коммуникативные навыки на английском и русском языках. — Хорошие организационные навыки и внимание к деталям. — Способность одновременно обрабатывать несколько запросов клиентов. — Опыт работы с CRM или системами тикетов будет плюсом. — Уверенность в работе в быстрорастущей стартап-среде. — Уровень английского B2+ (письменно и устно). Будет плюсом: — Опыт в fintech, платежах, банковском деле, FX или кросс-граничных платежах. — Понимание процессов KYB/KYC или онбординга. — Опыт работы с международными клиентами. — Опыт работы с HubSpot или аналогичными CRM/системами поддержки. Условия: — Работа в международной fintech компании, работающей в Африке, MENA и Азии. — Получение практического опыта в fintech, платежах, онбординге и операциях с клиентами. — Тесное взаимодействие с командами Product, Compliance и Operations. — Возможность роста в роли Customer Success, Account Management или Operations по мере масштабирования компании.

Location: US - Culver City, California, United States; US - United States Scopely is looking for a QA Manager, Live Operations to join our team on a soon-to-be announced AAA mobile game title. This role can be remote in the US and Canada, or hybrid in Culver City. At Scopely, we care deeply about what we do and strive to inspire play every day—whether through our work alongside talented colleagues or through our deep connections with our global player communities. We are a team of game lovers developing, publishing, and innovating within the mobile games industry, connecting millions of players around the world every day. What You Will Do The QA Manager will lead and develop a distributed QA team while driving scalable quality practices, release excellence, and cross-functional collaboration to deliver high-quality live game experiences for our game community. Manage, mentor, and support the growth and development of a talented QA team Build on existing team metrics to measure product quality and operational excellence Advocate for quality and serve as a spokesperson for continuous improvement initiatives Clearly communicate issues, risks, concerns, and successes to stakeholders, partners, and executives Foster strong collaboration across internal and external development, QA, and localization teams Partner with team leads to create effective plans, assignments, and schedules for all quality-related activities Continuously evaluate and improve QA, release, and deployment processes Champion QA and release excellence across the organization Help establish scalable quality practices that support the continued growth of the title Partner closely with engineering, live operations, marketing, and customer support teams What We’re Looking For 5+ years of professional experience in quality assurance 2+ years of management experience across the full game development lifecycle Proven experience working on a live mobile game with a large and active player base Deep understanding of QA methodologies, frameworks, and industry best practices Demonstrated ability to drive change and influence teams toward exceptional product quality Experience embedding QA practices within multidisciplinary development teams Experience in live operations and partnering with Marketing, Customer Service, and Live Support Experience building and leading distributed or remote teams Strong knowledge of software testing, QA processes, software development, change management, and process improvement Proficiency with bug-tracking systems and test-plan management tools Strong communication, organization, and stakeholder-management skills Bonus Points Experience working in mobile free-to-play or core gaming environments Familiarity with release management, automation, and quality metrics For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $98,600 — $145,000 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: USA Why this job is exciting Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer: Deep Search , our agentic, multi-step answer engine across an enterprise's entire lineup of codebases, Query Assist , turning natural language queries into Sourcegraph query syntax, Smart Hovers , concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day. Most of what makes those surfaces tick is agent engineering : a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the staff ML and agent engineer on Code Understanding , you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models. This is a staff-level role : we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before. Concretely, you'll own work like: Agentic systems. You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale. Pragmatic use of evaluations. Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence. Models: selection, upgrading, and training. You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call. Retrieval and context engineering. You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable. Cost and latency. Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably. You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work. 📅 Within one month, you will… Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval. Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them. Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next. Join the team's on-call support rotation. 📅 Within three months, you will… Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement. Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them. Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts. 📅 Within six months, you will… Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions. Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before. Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them. About you You are a staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems . This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it. You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship. You have personally owned a production model lifecycle. You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version. You build agents, fluently and opinionatedly. You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required. You have strong evaluation judgment. You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading. You treat cost and latency as product constraints. You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model. You operate autonomously on ambiguous problems. Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end. You contribute beyond your domain. As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives. You up-level the people around you. You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job. You're customer and product-driven. You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray. You're pragmatic, not a perfectionist. You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity. On the engineering fundamentals: You're a strong software engineer who can ship production services. You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there. You're fluent with agentic coding tools, and you understand and own every line it submits. You're comfortable in an async-first, multi-service, fast-paced remote environment. Nice-to-haves: You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently. You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production. Experience with retrieval, ranking, embeddings, or search relevance. Experience working directly with enterprise customers and translating their needs into a product. Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰 The starting salary for the IC4 pay band in each zone is: Zone 2: $176,000 USD Zone 3: $132,000 USD Zone 4: $88,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [60m] Resume Deep Dive [60m] System Design [60m] Harden a Code Research Agent Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia If you want to build and own the systems that decide what JetBrains customers are entitled to use and bill them accurately for it, this is for you. You will focus on designing backend services, keeping complex commercial flows correct, and tackling hard distributed systems challenges on the critical path of every paid request. 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 At JetBrains, the Cloud Platform department builds the underlying infrastructure that powers authentication, paid capabilities, usage metering, and accounting. Within this department, the Licensing & Billing team sits right at the center of our commercial model, turning what a customer buys into what they are actually allowed to use, and accounting for that consumption accurately enough to bill on. The complexity of our entitlement, quota, and metering systems continues to grow. In this role, you will own the correctness and evolution of these backend services, take full ownership of end-to-end data flows, tackle distributed consistency across unreliable upstream systems, and ensure revenue-affecting data migrations happen cleanly without taking services offline. Day to day, you will: Design, build, and operate backend services that decide what a customer is entitled to and what their usage costs. Own flows end to end, from ingesting licensing and purchase data from upstream systems to enforcing quotas and recording consumption. Evolve our domain model to handle new commercial structures, combining seat-based plans and usage-based models. Design integrations with external systems, ensuring correctness through idempotency, ordering, reconciliation, and eventual consistency. Plan and execute live data migrations using feature flags, dual writes, backfills, and verification at every stage. Build observability into our systems by defining invariants, metrics, and alerts to catch silent divergence before customers do. Design internal APIs with explicit focus on versioning, backward compatibility, and developer experience for other JetBrains teams. Improve system performance and reliability under continuous production load while decommissioning legacy subsystems. Write integration tests against real dependencies and maintain reliable test infrastructure. Investigate production incidents, find root causes, and follow through on lasting fixes. What you’ll bring An engineer’s dedication to accuracy, especially in domains where system errors have direct financial impact. Pragmatic judgment when designing distributed systems where correctness under unreliable delivery is the main constraint. A habit of trusting metrics, traces, and logs to understand production behavior rather than relying on assumptions. Comfort navigating and simplifying large existing codebases containing legacy decisions. Clear, direct communication skills to agree on API contracts across teams with different priorities. A focus on testing as an essential design tool rather than an afterthought. What you’ll need A proven track record of building and operating backend services on the JVM platform using Kotlin or Java. A solid working knowledge of relational databases, including transactions, isolation levels, locking, indexing, and live schema migrations (PostgreSQL preferred). A deep understanding of distributed systems patterns, such as idempotency, retry strategies, eventual consistency, and data reconciliation. Practical experience making live data migrations or system changes without downtime using feature flags and staged rollouts. Experience designing versioned, backward-compatible APIs for other engineering teams. Hands-on experience with event-driven architectures and message brokers like Kafka. The ability to diagnose, debug, and resolve production incidents in complex environments. Proficiency in both written and spoken English. What success looks like Success in this role means building a bulletproof entitlement and metering foundation that product teams can trust without hesitation. You will have successfully migrated live commercial systems to support new billing models without downtime or data divergence. Silent errors will be caught automatically by system invariants before affecting users, and internal teams will integrate seamlessly with your clean, versioned APIs. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role) Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-KT1 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: Kraków, Poland Workplace: hybrid David Kennedy Recruitment is working with a leading international technology company to recruit a Czech/Slovak-speaking Digital Sales Representative for its sales team in Krakow, Poland . The role focuses on developing existing customer accounts, identifying sales opportunities and providing consultative solutions to help customers maximise the value of digital advertising products. Position: Digital Sales Representative Location: Krakow, Poland Employment type: Full-time, contract based Remuneration: Base salary & bonus. DUTIES AND RESPONSIBILITIES: Analyse and strategise how to manage and upsell customer accounts Contact existing customers within an assigned portfolio for consultations Work in a target-driven environment with individual and team sales targets Increase the customer base through proactive sales activities Problem-solve and consult with customers to provide suitable solutions for their advertising campaigns Encourage customers to adopt new marketing strategies Guide customers through the implementation of campaign recommendations Build strong and trusting customer relationships by optimising accounts Use analytical skills to increase programme revenue Meet daily productivity requirements and KPIs while contributing to overall team sales targets Conduct outbound calls, cold calls and email follow-ups Manage an assigned portfolio of customer accounts Achieve monthly and quarterly individual and team targets. REQUIREMENTS: Czech/Slovak at minimum B2+/C1 level, verbal and written and English at minimum B2 level Sales aptitude Goal-oriented mindset Computer savvy Strong communication and consultative selling skills Customer-focused approach Analytical and problem-solving skills Comfortable working in a target-driven environment Ability to build and maintain customer relationships Willingness to reside in or relocate to Krakow, Poland. BENEFITS: Monthly and quarterly performance bonuses Relocation allowance available to candidates relocating to Krakow, including in-country relocators Private Luxmed medical care including dental and eye care Multisport Card MyBenefit cafeteria system PPK Plan VISA and work permit reimbursement where applicable Partial language course reimbursement Tuition programmes for sales courses and professional studies Flexible working hours Additional annual leave Hybrid working model And many more!!

Proxet is a company that provides product and platform engineering, data engineering, AI/ML, and cloud transformation services. Languages required: English (fluent), Polish (fluent). Work format: Remote (Poland).

Location: Barcelona; Paris; Amsterdam Workplace: Remote ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. This remote role is located within a two-hour time difference of CET. TEAM Our Gaming team is made up of hybrid-casual, casual, and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing, and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. Joining our Live games team means collaborating with gaming industry experts on globally renowned, enduring games while embracing exciting new entrepreneurial ventures. With over seven billion downloads worldwide and a portfolio of more than 10 resilient hybrid games generating more than $20m per year, we are the world's largest and most successful hybrid publisher. You will be joining one of our Live Studios, working on Paper.io http://Paper.io 2 https://play.google.com/store/apps/details?id=io.voodoo.paper2&hl=en_US. With Paper.io http://Paper.io 2, we’re building an iconic game that players will never forget! We're a small team of excellent people who take care of everything from ideas to testing, and we intend to grow while maintaining our high standards.   ROLE As a Concept Artist focusing on Concept Art, you will play a vital role in shaping the visual identity of Paper.io http://Paper.io 2 https://play.google.com/store/apps/details?id=io.voodoo.paper2&hl=en_GB. Collaborating closely with the Art Director, you will create, develop, and integrate stunning game assets, elevating the production quality of our live games as we transition them into the casual space. - Art Creation: - Design and produce high-quality concept art for characters, environments, and props. - Work on illustrations for icons or stylised assets that align with the game’s aesthetic. - Creating key art illustrations with final render. - Collaboration: - Partner with the Art Director to align on visual style and direction. - Actively contribute by providing creative ideas and constructive feedback. - Conceptualisation: - Gather references, brainstorm ideas, and create mock-ups that clearly communicate the artistic vision. - Contribute to the creative direction by delivering compelling and innovative designs.   PROFILE - Experience: - 4+ years as a Concept Artist, in the mobile gaming industry. - Strong capabilities in concept art, including a keen eye for detail, composition, and style. - Ability to adapt to different visual styles and produce assets that align with the game’s vision. - Strong Illustration skills - Technical Proficiency: - Skilled in tools like Maya, Blender, Unity, and Photoshop. - Proficient in low-poly modelling and texturing pipelines; familiarity with Maya rigging workflows is a plus. - Experience working with Unity - Familiar with AI pipelines - Soft Skills: - Excellent communication skills, with the ability to convey ideas clearly and collaborate effectively with a multidisciplinary team. - Resourceful and proactive, with the ability to troubleshoot and iterate effectively. - Strong problem-solving abilities   Nice to have - Create low-poly 3D models, including texturing, to meet both technical and artistic requirements. - Experience in VFX creation or animation.   BENEFITS - Best-in-class compensation - Other benefits according to the country you reside

Location: Kraków, Poland Workplace: hybrid David Kennedy Recruitment is working with a leading international technology company to recruit a German-speaking Digital Solution Representative for its sales team in Krakow, Poland . The role focuses on developing existing customer accounts, identifying sales opportunities and providing consultative solutions to help customers maximise the value of digital advertising products. Position: Digital Solution Representative Location: Krakow, Poland Employment type: Full-time, contract based Remuneration: Base salary & bonus. DUTIES AND RESPONSIBILITIES: Analyse and strategise how to manage and upsell customer accounts Contact existing customers within an assigned portfolio for consultations Work in a target-driven environment with individual and team sales targets Increase the customer base through proactive sales activities Problem-solve and consult with customers to provide suitable solutions for their advertising campaigns Encourage customers to adopt new marketing strategies Guide customers through the implementation of campaign recommendations Build strong and trusting customer relationships by optimising accounts Use analytical skills to increase programme revenue Meet daily productivity requirements and KPIs while contributing to overall team sales targets Conduct outbound calls, cold calls and email follow-ups Manage an assigned portfolio of customer accounts Achieve monthly and quarterly individual and team targets. REQUIREMENTS: German at minimum B2+/C1 level, verbal and written and English at minimum B2 level Sales aptitude Goal-oriented mindset Computer savvy Strong communication and consultative selling skills Customer-focused approach Analytical and problem-solving skills Comfortable working in a target-driven environment Ability to build and maintain customer relationships Willingness to reside in or relocate to Krakow, Poland. BENEFITS: Monthly and quarterly performance bonuses Relocation allowance available to candidates relocating to Krakow, including in-country relocators Private Luxmed medical care including dental and eye care Multisport Card MyBenefit cafeteria system PPK Plan VISA and work permit reimbursement where applicable Partial language course reimbursement Tuition programmes for sales courses and professional studies Flexible working hours Additional annual leave Hybrid working model And many more!!

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 THE ROLE Eneba is hiring an Account Manager to own a portfolio of mobile game publishers on our rewarded network. This is a commercial role with a heavy performance-marketing core: you will be the strategic point of contact for your clients, and you will personally build, launch and optimize the event reward funnels that drive their results. The best person for this job is someone who is equally comfortable on a QBR call with a client’s Head of UA and in the dashboard at 9pm rebalancing reward tiers on an underperforming event. You will own the end-to-end performance of your accounts — the relationship, the funnel setup, the optimization, and the revenue behind it. WHAT YOU’LL DO - Own client relationships. Serve as the day-to-day contact for a portfolio of mobile game publishers, building trusted relationships with UA managers, directors and CMOs, as well as monetization and growth stakeholders. - Grow your book of business. Expand accounts through cross-sells (bringing additional titles from a client’s portfolio onto the network) and upsells (growing budget and spend on titles already live, and expanding into more geos). - Set up and evaluate event reward funnels. Design reward structures using industry best practices, understanding event mechanics and payout tiers from scratch; QA them pre-launch and assess whether the funnel economics work for both the client and the network. - Review performance and optimize events. Monitor live events against KPIs, diagnose drop-off points in the funnel, and make data-led adjustments to reward tiers, targeting, creative and pacing to hit performance targets. - Act as a strategic advisor. Bring clients benchmarks, category insight and a clear point of view on what to run next — not just a status update on what ran last week. - Own the invoicing and billing process. Manage the commercial back end of your accounts end-to-end, coordinating with finance to ensure accurate, on-time billing and clean resolution of any discrepancies. - Plan and run QBRs. Schedule, prepare and deliver quarterly business reviews — virtual or in person — that translate performance data into a forward-looking growth plan. - Drive client retention. Spot early signals of churn risk, and propose and implement retention strategies that keep accounts growing rather than lapsing. - Own end-to-end campaign performance. Take full accountability for how your clients’ campaigns perform — from onboarding and setup through to results, reporting and renewal. WHAT WE’RE LOOKING FOR - 2+ years in mobile ad tech in an account management, partner management, customer success or performance/UA role. - Direct, hands-on experience setting up and optimizing reward funnels. This is the highest priority requirement for this role. You should be able to walk us through a funnel you built, what the reward structure looked like, what underperformed, and exactly what you changed to fix it. - Strong performance analytics instincts. Comfortable working in dashboards and spreadsheets, and confident with the metrics that matter in this space — conversion rate, completion rate, CPI/CPA, ARPU, ROAS, retention and LTV. - Commercial ownership. A track record of growing existing accounts through upsell and cross-sell, and comfort holding a revenue or growth number. PREFERRED - Rewarded network experience — offerwall, rewarded playtime, or rewarded engagement/events. This is a strong plus and will move a candidate to the top of the pile. - Experience working directly with mobile game publishers and an understanding of how their UA teams operate. - Familiarity with MMPs and attribution (AppsFlyer, Adjust, Singular) and with BI/reporting tooling. - Exposure to the commercial mechanics of a network — margin, payout models, budget pacing and invoicing. #LI-SC1 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.   We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : 1. Technical and Database Assessment Review Data In-Licensing requirements, workflow maps, data flows, data lineage, entitlement rules, and dependency records. Assess relational database platforms, schemas, connectivity methods, interfaces, drivers, service identities, query patterns, and downstream consumption. Identify where licensed data is stored, transformed, replicated, extracted, cached, archived, or backed up. Assess current database security capabilities and identify gaps, constraints, risks, and prerequisites. 2. Data-Level Authentication and Identity Integration Assess authentication for named users, service identities, workloads, and analytical tools accessing databases. Evaluate OAuth/OIDC or other identity- and token-based authentication directly to the database where supported by the selected technology. Design integration between enterprise identities, security groups, project groups, database principals, roles, and policy engines. Reduce reliance on shared or long-lived credentials where feasible and define secure credential or token handling for unavoidable exceptions. Align with tools currently available and identify gaps if any, 3. Fine-Grained Authorization and Data Firewalling Design database-level controls that restrict access to explicitly authorized users, groups, services, projects, or licensing populations. Design and implement row-level security, column-level security, dynamic masking, views, policy-based filtering, or equivalent controls as appropriate. Define isolation patterns for different licensed datasets and agreements while preserving permitted platform use for other users. Ensure controls are consistently enforced as close to the data layer as technically feasible and are not solely dependent on application logic. 4. Auditing, Monitoring, and Traceability Design database auditing to capture who accessed data, what was accessed, when access occurred, and which identity or service was used. Define logging for queries, exports, failed access attempts, permission changes, and privileged activity where supported and required. Integrate audit telemetry with appropriate monitoring and reporting capabilities and define retention and evidence requirements. Validate that audit records are searchable, attributable, protected from inappropriate modification, and useful for investigation. 5. Data Lifecycle, Revocation, and Deletion Design controls for access revocation when users change roles, leave a project, or when licensing rights expire. Design methods to identify and remove licensed data from primary stores and relevant downstream copies, extracts, caches, or derived stores. Address deletion implications for referential integrity, backups, archives, replication, recovery processes, and downstream consumers. Define validation, exception handling, and evidence mechanisms to demonstrate that required deletion activities were completed. 6. Solution Architecture and Engineering Translate requirements into current-state and target-state architectures, technical specifications, security patterns, and implementation plans. Compare solution options and document trade-offs across security, feasibility, performance, scalability, operability, cost, and technology constraints. Define database connectivity, policy-enforcement, identity, audit, monitoring, lifecycle, and integration components. Collaborate with database, IAM, security architecture, infrastructure, application, data platform, governance, and scientific teams. 7. POC Design and Execution Select suitable relational database and workflow candidates that represent Data In-Licensing scenarios and material technical risks. Define POC architecture, test data, test identities, success criteria, negative tests, performance considerations, and rollback approach. Implement and validate identity-based authentication, fine-grained authorization, data firewalling, auditing, access revocation, and deletion scenarios. Document outcomes, limitations, operational considerations, reusable patterns, and recommendations for broader adoption. What we expect : Expected Deliverables Technical assessment of databases, integrations, identities, and data flows Current-state database security and capability assessment Target-state data security architecture and detailed technical design Database authentication and identity-integration design Row-level, column-level, masking, and policy-enforcement design Data firewalling and licensed-dataset isolation pattern Audit, monitoring, traceability, and reporting design Access revocation, retention, lifecycle, and deletion design Solution options, feasibility, gap, dependency, and risk assessment POC architecture, implementation, test results, and recommendations Reusable implementation patterns and operational handover documentation Required Technical Skills and Experience Strong hands-on experience with relational databases, SQL, database architecture, schemas, roles, privileges, and access paths. Practical experience implementing database-level authorization, including row-level and column-level controls or equivalent fine-grained mechanisms. Strong knowledge of database authentication, IAM, OAuth 2.0, OIDC, tokens, service identities, workload identities, and secrets management. Experience designing secure database connectivity and integrations for applications, analytical tools, APIs, ETL/ELT, and data pipelines. Experience with database auditing, query/activity monitoring, centralized logging, alerting, and investigation support. Understanding of data lineage, lifecycle, retention, revocation, deletion, backup, archive, and recovery implications. Ability to evaluate heterogeneous database technologies and design platform-appropriate controls. Strong architecture, engineering, troubleshooting, documentation, and stakeholder-collaboration skills. Nice to have : Experience with enterprise data platforms, cloud or hybrid databases, data catalogs, access governance, and policy-enforcement technologies. Experience in pharmaceutical research, scientific data, intellectual property protection, data licensing, or another regulated environment. Experience designing and executing security POCs and converting validated patterns into production-ready designs. Knowledge of privacy, contractual-use restrictions, segregation, and evidence requirements affecting licensed data. We offer : Competitive compensation Remote work Flexible working hours Continuous education, mentoring, and professional development programs A team with an excellent tech expertise

Location: Taipei / Taiwan Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: London, United Kingdom Workplace: hybrid About InvestEngine InvestEngine is everything the modern investor should need. Unbeatable value, market-leading automation, and built for easy, long-term investing. We’ve built a strong foundation, have over £2 billion invested, award-winning service, and a passionate team, now we’re ready to scale. Role Overview As an Analyst, you will play a key role within the Analytics team, initially focused on data governance and compliance — spanning topics such as Consumer Duty, CASS, KYC/AML and data protection — with the expectation of broadening into general analytics support across the business over time. You will work closely with stakeholders across Compliance, Risk, Operations, Product and Commercial to translate governance and regulatory requirements into clear, well-documented data controls, reports and dashboards — using a modern, automated tech stack. This role is best suited to an analytically minded person with an engineering mindset: someone who instinctively looks to automate and simplify rather than accept a manual, spreadsheet-driven process, and who is confident proposing new ways of working, new team structures, or new technology when the current approach isn't fit for purpose. You should be comfortable with ambiguity in a growing analytics function, and want to work in a modern, automation- and AI-enabled way rather than through manual, ad hoc reporting. Key Responsibilities Governance & Compliance Support the design and rollout of a data governance framework: data ownership, definitions, lineage and retention policies. Partner with Compliance, Risk and Legal stakeholders to translate regulatory requirements (e.g. Consumer Duty, CASS, KYC/AML, GDPR) into concrete data controls, monitoring and reporting. Maintain and evolve the analytics glossary, data catalogue and semantic layer so compliance-related metrics are clearly defined, consistent and auditable. Support internal and external audit requests with well-documented, reproducible analysis. Modern Analytics & Automation Build and maintain data transformations and models using SQL and dbt, following version-controlled, tested and documented practices. Automate recurring reports, reconciliations and alerts to reduce manual effort and strengthen controls. Use AI-enabled tools (e.g. Claude, Copilot) responsibly to accelerate analysis, coding, QA and documentation, within agreed data-handling and compliance guardrails. Contribute to modern software-engineering practices for analytics: version control (git), peer review of dbt models/queries, and lightweight CI/CD where relevant. Ways of Working & Continuous Improvement Default to automating and simplifying: question manual, spreadsheet-driven or one-off processes rather than just repeating them. Propose new tools, architectures, or ways of working where the current setup is holding the team back — this role is expected to shape the analytics function's approach, not just operate within it. Bring an engineering-influenced approach to analytics work: reusable, testable, version-controlled, rather than one-off scripts or manual spreadsheets. Reporting & Dashboards Build and maintain dashboards and reports using modern BI tools. Ensure metrics are correctly defined, documented, and consistent with the data catalogue and semantic layer. As the role broadens, support wider analytics team with ad hoc analysis outside governance and compliance. Data Quality & Documentation Work with the Chief Data Officer to ensure data accuracy, reconciliation and quality. Contribute to data documentation, definitions and the analytics glossary. Raise data quality issues and support root-cause analysis. Stakeholder Collaboration Work closely with business and compliance stakeholders to understand requirements and analytical needs. Clearly communicate insights and findings in a structured, accessible way. Support decision-making by translating complex analysis and regulatory detail into clear narratives. Requirements & Skills Experience in a Data Analyst, Business Analyst, Compliance Analyst or similar role. Strong SQL skills; hands-on experience with dbt, or a strong aptitude and willingness to learn modern transformation tooling quickly. Familiarity with data governance and one or more relevant regulatory/compliance topics (e.g. Consumer Duty, CASS, KYC/AML, GDPR, Market Abuse Regulation, data retention) is desirable. An engineering mindset — a demonstrated habit of automating, simplifying, or redesigning a manual process rather than living with it, even where that means suggesting a new tool or way of working. Experience or strong interest in using AI tools to enhance analytical workflows — e.g. AI-assisted coding, prompt engineering, automation of repetitive tasks. Comfortable with version control (git) and other modern, engineering-influenced ways of working. Experience with modern BI tools (e.g. Metabase, Lightdash, Omni, Looker). Strong analytical thinking and problem-solving ability. Clear written and verbal communication skills, including with non-technical, compliance-focused stakeholders. Confidence to challenge the status quo and propose alternatives, backed by data and sound reasoning. Experience in fintech or financial services is desirable but not essential. What Success Looks Like A trusted, well-documented and automated data governance reporting suite covering the business's key data domains, including Consumer Duty, CASS and KYC/AML. The use of a modern, automated reporting stack (SQL/dbt) to replace manual, ad hoc processes. At least one meaningful new way of working, tool, or structural change proposed and adopted by the team. Effective, appropriate use of AI tools to speed up delivery without compromising data governance. Strong stakeholder relationships and increasing autonomy as the role broadens beyond governance and compliance. Our Hiring Process Introductory call with our Talent team Gamified cognitive assessment to understand how you think and problem-solve Competency interview focused on your experience in operational risk and controls (may include a short task or case study) Senior leadership interview to explore alignment with our culture, values, and strategic direction

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Strategic Account Leader on our Public Sector Team, you’ll help Department of War agencies modernize how they build and secure software using GitLab’s AI-powered DevSecOps platform. You’ll align GitLab with agency priorities like CI/CD automation, secure development practices, and infrastructure modernization in regulated environments, acting as the primary point of contact for strategic and large prospects. Reporting to a Regional Director, you’ll own a defined book of business, build and execute multi-year account plans, navigate complex procurement cycles, and partner closely with system integrators and resellers to deliver outcomes that matter to public sector missions. In your first year, you’ll focus on developing trusted relationships with CIOs, technical leaders, and key stakeholders across your territory, driving successful rollouts and adoption of GitLab, and coordinating with our pre- and post-sales engineering and support teams. You’ll also represent the voice of your customers internally by sharing product feedback and ideas through our public issue tracker, helping shape how GitLab serves the public sector over time. What you’ll do Build and execute strategic account plans that align GitLab’s AI-powered DevSecOps platform with public sector modernization initiatives Navigate complex procurement and contracting processes while shaping multi-year technology roadmaps with CIOs and technical leaders Act as the primary point of contact and trusted advisor for strategic and large public sector prospects and customers Own your book of business, from pipeline development through close and expansion, using a consultative, mission-focused sales approach Collaborate with pre-sales and post-sales engineering, customer success, and support teams to ensure successful rollout, adoption, and value realization Partner with system integrators, resellers, and other channel partners to generate qualified leads and co-create solutions for government challenges Conduct ongoing prospecting and opportunity development activities within large and strategic accounts to drive new and expansion business Represent the voice of the customer by sharing feedback and product ideas through GitLab’s public issue tracker and internal teams What you’ll bring Experience selling technology solutions to Department of War agencies Knowledge of the software development lifecycle, including CI/CD automation, secure development practices, and infrastructure modernization Understanding of compliance requirements, and agency buying cycles, with the ability to navigate complex stakeholder environments Consultative sales approach that positions technology as a mission enabler and aligns solutions to public sector modernization initiatives Ability to manage major accounts with a high degree of ownership and control, working under minimal supervision on complex opportunities Skill in collaborating with system integrators, resellers, and internal pre- and post-sales teams to drive successful customer outcomes Effective written and verbal communication skills, with strong interpersonal abilities to build consensus across technical and non-technical stakeholders Alignment with GitLab’s values, openness to learning, and readiness to apply transferable skills and diverse experiences to the public sector domain About the team The Public Sector Team focuses on helping U.S. Department of War agencies modernize how they build, secure, and operate software using GitLab’s AI-powered DevSecOps platform. You’ll join a distributed group of strategic account leaders, solutions architects, and channel specialists who collaborate asynchronously across time zones to serve complex, regulated customers. We partner closely with system integrators and resellers, align with agency procurement processes, and coordinate with product, marketing, and support teams to deliver secure, compliant solutions. Our current priorities include navigating evolving procurement and compliance requirements, supporting infrastructure modernization and secure development practices, and expanding GitLab’s presence across key public sector accounts. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $122,000 — $205,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: China / Shenzhen• Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: APAC / China / Hong Kong; China HK Workplace: OnSite Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: China / Dongguan Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.