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Location: Mexico WHAT YOU'LL DO: You'll lead and close high-stakes deals with government agencies across the region, expand existing agency relationships, and create durable revenue streams with public sector organizations. - Build and grow trusted relationships with agency executives, IT/CIO leaders, and contracting officers across federal, state, and local government. - Drive measurable growth within the accounts you own, turning them into long-term reference customers and case studies. - Expand Wonderful's footprint by identifying new agencies, programs, and contract vehicles to land fresh government customers. - Hit - and exceed - activity, pipeline, and revenue targets, setting the bar for sales excellence in a procurement-driven environment. - Keep account details sharp and actionable: use cases, procurement timelines, contract vehicle status, budget cycles, next steps, and forecasts. - Sell on mission impact and value, not features - using a solution-based approach that proves measurable outcomes against agency mandates and constituent needs. - Navigate procurement processes including RFIs, RFPs, sole-source justifications, and relevant contract vehicles (e.g., GSA Schedules, cooperative purchasing agreements, or regional equivalents). WHAT WE'RE LOOKING FOR: - 7+ years of smashing sales quotas in SaaS or AI-driven solutions within public sector/govtech, consistently closing large, complex agency accounts with multi-stakeholder, multi-branch approval cycles. - Deep understanding of government procurement and budget cycles, including fiscal year timing, contract vehicles, and compliance requirements (e.g., FedRAMP, StateRAMP, data residency, or regional equivalents). - Exceptional communication, presentation, and negotiation skills, including experience presenting to non-technical stakeholders and elected/appointed officials. - The ability to work independently, manage a long-cycle pipeline, and prioritize across multiple agencies and procurement stages. - Excellent English (written and spoken) plus fluency in local language. - A passion for artificial intelligence in government modernization and a "get-it-done" attitude suited to bureaucratic environments. - A "hunter" mentality with a track record of generating new agency leads and navigating unfamiliar procurement structures to close deals. - A proven ability to navigate and win in early-stage, high-growth environments, staying sharp and effective with limited oversight and long sales cycles. - Strong existing relationships with agency leadership and decision-makers, with the credibility to open new doors across departments quickly. - The skill to cut through tech jargon and translate technical capabilities into clear, compelling mission and budget value that makes agency leaders lean in. - Proven wins working hand-in-hand with System Integrators and Hyperscalers' government cloud offerings (e.g., AWS GovCloud, Azure Government) to drive joint success. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

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: 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: 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.

Location: China / Zhuhai 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 / Guangzhou 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 Job Description Location: Hong Kong — on-site (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: Remote (Ukraine) Workplace: Remote [https://app.ashbyhq.com/api/images/user-content/d5fc9a0c-9608-448b-b96f-2a4966f020bf/22af23bd-cec1-4e6e-b453-ff4cb3299c8e/G_LINK_OWN_COVER_1.png] About us: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team comprises over 400 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team. Our mission: Become a stepping stone on our customers’ journeys of self-improvement. Our values: - Deliver what matters - Respect and support others - Initiate and own - Voiceopenly - Execute with quality If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com http://gismart.com. About project Testora is a self-discovery app that helps users explore and analyze their personality, intelligence, relationships, and career strengths through engaging tests. The app offers personalized challenges, progress reports, and habit tracking, making Testora your go-to tool for self-awareness, stronger relationships, and personal growth. Responsibilities: - Developing creative strategies and concepts for promoting the mobile application - Working closely with the Product, UA team to identify key features and advantages of the application, try different collaborative approaches to boost the performance - Optimizing creatives based on analytical data and user feedback - Conducting competitors research to analyze best practices on the market - Creating advertisements for META, Google and other networks - Organizing brainstorms with the team - Writing the briefs for UGC, evaluating results, making reworks to increase the results - Collaborate with designers and illustrators to quickly test ideas - Ability to balance creativity with performance goals - Strong ideation skills combined with structured thinking - Understanding of modern trends across social media platforms Requirements: - Experience as a creative producer in the performance marketing (would be nice: field of healthy lifestyle, nutrition, or fitness) min 6 months (1 year+ will be an advantage) - Data-driven approach - Deep understanding of the target audience and their needs - Ability to create and implement performing creative strategies - Ability to create engaging and informative creative strategy and content that effectively attracts users - Experience with analytics and optimization of creatives - Excellent communication and organizational skills - Independency and willingness to push the processes - Flexibility and adaptability to fast changing - English minimum B2 level Employee Benefits: - Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs - Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy and autonomous hub) and 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace - Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday - Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year - 100% Sick Leave Compensation - Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs - Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools - Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses - Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart - Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs

Location: London, United Kingdom Workplace: fully About InvestEngine InvestEngine is a fast-growing fintech company based in London, on a mission to make ETF investing simple and accessible. Over 150,000 clients trust us with more than £3 billion in assets under management — and we’re just getting started. We’ve been featured in MoneyWeek, Finder, and Forbes, and we’re scaling quickly with ambitious plans for both our product and engineering organization. About the Role We’re looking for two Senior Engineering Managers to help build a stronger management layer in engineering and support multiple product teams across InvestEngine. This is a high-impact leadership role focused on engineering management, delivery, team performance, and organizational scaling. You’ll work closely with the CTO, CPO, and multiple Team Leads reporting to you to help teams operate effectively, deliver business impact, and scale sustainably as the company grows. One role will focus more on customer-facing product teams, while the second role will work more closely with infrastructure and operational teams, including Payments, Trading, Pension, and Back Office systems. While this role is less hands-on than a traditional Tech Lead position, a strong engineering background and technical judgment are still important. What You’ll Do Manage and support multiple engineering teams and Team Leads Improve delivery processes, team performance, and engineering effectiveness Help scale engineering processes and organizational structure Drive operational and process improvements across teams Support architectural discussions and long-term technical strategy Mentor engineers and engineering leaders Help improve planning, communication, and cross-team collaboration Contribute to engineering culture and organizational growth What We’re Looking For Strong engineering management experience leading multiple teams or Team Leads Previous software engineering background (backend or full-stack preferred) Experience working in product companies rather than pure outsourcing environments Experience scaling teams, processes, and engineering organizations Experience building engineering processes and delivery practices Strong communication and stakeholder management skills Ability to operate in ambiguity and drive initiatives independently Collaborative leadership style with strong mentoring mindset English level С1 Bonus if you have Experience in fintech or regulated industries Experience in high-growth product companies Experience working with metrics and operational improvements How We Work We’re a lean, collaborative engineering organization where managers and engineers have real influence on product direction, engineering culture, and technical decisions. We care about ownership, pragmatism, continuous improvement, and building scalable systems and teams — without unnecessary bureaucracy. What We Offer Direct impact on product and engineering growth Opportunity to shape a scaling engineering organization Remote-first and flexible working environment High level of ownership and autonomy Modern tech environment and experienced engineering teams Unlimited vacation policy Hiring Process Intro call with our Talent team Technical interview with the Backend team Gamified cognitive assessment to understand how you think and problem-solve Final conversation with our CTO

Location: Algiers, Algeria Workplace: hybrid Context & Vision In 2026, writing code is no longer the primary bottleneck; managing its complexity and ensuring its reliability is. We are building a highly resilient advertising platform with a very lean, senior internal team, and we intend to keep it that way. To achieve scale without the overhead of a large engineering department, we rely on an AI-first development paradigm and a philosophy borrowed from the best large-scale open-source projects. Our code is not public, but our governance is theirs: asynchronous communication, exhaustive written documentation, explicit rules, and uncompromising quality gates. It is the only way a small team of humans and AI agents ships serious systems without accumulating technical debt. This role owns the data engine underneath the platform: the streams, segments and audiences that make advertising intelligent. The Role You will own the data and DMP layer end to end — the event streams flowing in, the segment and audience computation, and the analytical stores that feed targeting and reporting. What we hire for is judgment: the problems here are hard in the interesting way, and the interesting part is the tradeoffs you choose. 1. Hard problems, at real-time scale.Computing audiences and measurement over very large, high-velocity event streams, in near-real-time, where being right is not always the same as being exact and every choice has a real cost. We describe the problems; we expect you to bring the approach. 2. Stream-First Pipeline.Own the ingestion and processing pipeline. It is stream-first by design; you keep it that way rather than falling back to batch. 3. Segments & Audiences.Own how raw signals become targetable audiences — how they are computed, stored, refreshed, and exposed to the serving path. This is the intelligence layer of the product. 4. AI-First Delivery & Governance. We expect AI to write most of the code; you are the editor, not the typist. You specify work as explicit, self-sufficient issues, direct agentic tooling to implement, and gatekeep every diff. Schemas, data contracts and Architecture Decision Records are documented. If it is not written down, it does not exist.  The Tech Environment - Data: event streaming and stream processing, relational and analytical stores. - Language: the codebase is a compiled systems language; we care more about how you reason about data than about the language you arrive with. - Domain: DMP, segments, audiences, identity, measurement. - Cloud: Google Cloud Platform, Kubernetes. Profile & Requirements We are looking for a data-minded engineer who frames a problem before reaching for a tool, owns correctness, and thrives in a lean, high-quality environment. This role is not suited to someone who wants a narrow, hand-fed scope inside a large team. Essential Experience - 5+ years building data or backend systems in production, with genuine ownership of a pipeline's reliability and the correctness of its output. - Depth on hard data problems— you have built things where scale, real time, or accuracy made the design non-obvious, and you can talk through the tradeoffs you chose and why. - Streaming experience and a real grasp of stream-vs-batch tradeoffs, event modelling, and schema evolution. - Comfort in a compiled systems language (Rust, Go, C++, Scala or similar). The codebase is Rust; the language is the tool, the data thinking is the skill. - Working knowledge of an analytical data store and SQL. DMP / ad-data or audience/segmentation experience is a strong plus. Core Competencies & Mindset - Judgment over recipes: you frame a data problem and its constraints before choosing an approach, and you can say when an approximate answer is the right engineering call and when it is not. - Distributed & complex systems: knowledge of, and a taste for, distributed and complex systems is very welcome. Tell us about the ones you have built or operated — what made them hard. - AI Development Lifecycle: genuine proficiency editing and validating AI-produced code, and decomposing ambiguous goals into specifications an agent can execute unattended. - Uncompromising Quality: a maniacal focus on data correctness, freshness, and reliability. A wrong number that ships is a wrong number the business trusts. - Written & Asynchronous: exceptional written communication; effective in a distributed, async environment (Paris timezone +/- 3h). - Ownership: you own your pipeline and its documentation completely, and you surface problems before they are asked about.

Location: Algiers, Algeria Workplace: hybrid Context & Vision In 2026, writing code is no longer the primary bottleneck; managing its complexity and ensuring its reliability is. We are building a highly resilient advertising platform with a very lean, senior internal team, and we intend to keep it that way. To achieve scale without the overhead of a large engineering department, we rely on an AI-first development paradigm and a philosophy borrowed from the best large-scale open-source projects. Our code is not public, but our governance is theirs: asynchronous communication, exhaustive written documentation, explicit rules, and uncompromising quality gates. It is the only way a small team of humans and AI agents ships serious systems without accumulating technical debt. This role owns the ground the whole platform runs on: the clusters, the pipelines, and the guarantees that everything ships predictably. The Role You will own the platform and delivery infrastructure end to end — the clusters, the infrastructure-as-code, the delivery pipelines, and the operational guarantees behind them. In a lean team, reliability is not a separate department; it is a discipline you carry for everyone. 1. Infrastructure as Code. Own the cloud footprint through infrastructure-as-code and a GitOps workflow. Infrastructure is declared, reviewed and versioned like any other code — no click-ops, no undocumented state. 2. Delivery Pipelines.Own CI/CD. Builds are reproducible, deployments are predictable, and rollbacks are boring. You make shipping a non-event. 3. Reliability, Performance & DR. Own observability (metrics, logs, distributed traces), performance testing, and backup / disaster-recovery. You define the SLOs that matter for a real-time serving platform and you make them measurable. 4. Quality Gates & AI-First CI. Enforce quality at every passage point in the pipeline. Integrating AI into CI/CD — automated reviews, security and policy checks — is an open frontier here, and we expect you to study it and propose implementations. Everything you build is documented; if it is not written down, it does not exist. The Tech Stack - Orchestration: managed Kubernetes on Google Cloud Platform. - IaC & GitOps: infrastructure-as-code and a GitOps workflow. - CI/CD: modern delivery pipelines (and proposals to evolve them). - Observability: metrics, logs, distributed tracing. - Runtime context: Rust services, a React frontend, streaming, relational databases. - Cloud:Google Cloud Platform. Profile & Requirements We are looking for a platform engineer who treats infrastructure as a product, owns reliability for the whole team, and is comfortable in a lean, high-quality, AI-first environment. This role is not suited to someone who wants to run a ticket queue inside a large ops team. Essential Experience - 4+ years in DevOps / platform / SRE roles, running production Kubernetes** for real workloads (GCP preferred). - Infrastructure-as-code and a GitOps  workflow in production; infrastructure declared and reviewed as code. - Solid CI/CD ownership and a real observability practice (metrics, logs, distributed tracing) - Experience defining and defending SLOs, performance and disaster-recovery for latency-sensitive systems. Core Competencies & Mindset - AI Development Lifecycle: comfort integrating AI into the delivery workflow, and a point of view on automating quality and security gates in CI. - Uncompromising Reliability: a maniacal focus on predictability, recoverability and security. Surprises in production are the enemy. - Written & Asynchronous: exceptional written communication; runbooks and ADRs are part of the job, not a favour. Effective in a distributed, async environment (Paris timezone +/- 3h). - Ownership:** you carry reliability for the whole team and raise risks before they become incidents.

Location: Algiers, Algeria Workplace: hybrid Context & Vision In 2026, writing code is no longer the primary bottleneck; managing its complexity and ensuring its reliability is. We are building a highly resilient advertising platform with a very lean, senior internal team, and we intend to keep it that way. To achieve scale without the overhead of a large engineering department, we rely on an AI-first development paradigm and a philosophy borrowed from the best large-scale open-source projects. Our code is not public, but our governance is theirs: asynchronous communication, exhaustive written documentation, explicit rules, and uncompromising quality gates. It is the only way a small team of humans and AI agents ships serious systems without accumulating technical debt. This role owns the entire product surface: the console through which advertisers and agencies run their campaigns. The Role You will own the frontend of the platform end to end — the advertiser and agency console where campaigns, audiences, creatives and reports come to life. This is the most visible part of the build and, today, the least finished; you will have real ownership and a large surface to shape. 1. The Advertiser & Agency Console.** Build and own the product UI: campaign and line-item management, inventory, creative assets, reporting dashboards, account and admin modules, and the conversational agent interface. You are responsible for how the product feels to use. 2. A Typed, Contract-First Client.** Our frontend consumes the backend through a typed, contract-first client. You keep the contract tight: no drift between what the backend promises and what the UI assumes. 3. A Real Design System.** The product is standardising on a proper design system. You will own its implementation, keep components consistent, accessible and internationalised (FR / EN / AR), and work with the studio on the visual direction rather than reinventing it per screen. 4. AI-First Delivery & Governance.** We expect AI to write most of the code; you are the editor, not the typist. You specify work as explicit, self-sufficient issues, direct agentic tooling to implement, and gatekeep every diff. Components, patterns and decisions are documented. If it is not written down, it does not exist. The Tech Stack - Core: modern React, TypeScript. - UI:a component library and a shared design system; data visualisation. -State & Data: server-state and client-state tooling, typed API clients. - Testing: end-to-end and unit testing. - i18n: multi-language (FR / EN / AR). - Cloud: Google Cloud Platform. Profile & Requirements We are looking for a senior frontend engineer who owns a product surface with taste and rigour, and who is comfortable in a lean, high-quality, AI-first environment. This role is not suited to someone who wants a narrow slice of screens inside a large team. - 4+ years building and shipping production React applications, with real ownership of a non-trivial product surface. - Deep TypeScript, modern React, and a component-library-based UI used at scale. - Experience with server-state tooling and typed API consumption. - A real testing habit (end-to-end and unit) and attention to accessibility and internationalisation. Core Competencies & Mindset -AI Development Lifecycle: genuine proficiency editing and validating AI-produced code, and turning ambiguous product goals into specifications an agent can execute. - Product Sense & Craft: you care how it feels, not only that it renders. Hierarchy, states, and consistency are not afterthoughts. - Uncompromising Quality: a focus on performance, correctness and maintainability across a large surface, not just the happy path. - Written & Asynchronous: exceptional written communication; effective in a distributed, async environment (Paris timezone +/- 3h). You document your components and decisions and do not wait to be asked.

Location: United Kingdom (Remote); United Kingdom (Hybrid) Workplace: Remote Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM Here at Cleo, we have ~200 Engineers organised into Pillars ✨ Our stack spans a Ruby on Rails monolith, a single React Native (TypeScript) app frontend, Python for machine learning services, and PostgreSQL, all hosted on AWS and shipped through Kubernetes - backend goes out multiple times a week, app releases to Google and Apple at least weekly. To thrive here, our engineers proactively use our Engineering Principles to guide daily decisions, take ownership of problems beyond their own squad to drive broader impact, and actively drive their own learning, development and growth. ABOUT THE ROLE We're hiring Senior Backend Engineers to join one of our cross-functional product squads - working closely with other engineers, designers, analysts, and product partners to build features that improve our users' financial health. We care far more about how you think than which language you've used before. Much of our product runs on Ruby today, but we deliberately hire polyglot engineers: if you've shipped meaningful product work in any modern stack, you'll ramp quickly here. Key responsibilities for this role include: - Shape the direction of upcoming work - break down ambiguous problems with your squad and help drive projects from early discovery through to shipped impact - Build and evolve the APIs, data models, and business logic behind our product; no Ruby experience required, just strong fundamentals and sound judgement on trade-offs - Contribute to testing, observability, and experimentation, and help continuously raise the bar on developer experience and product quality - Drive high-impact initiatives such as our secured credit card, budgeting and financial insight features, and subscription/pricing experiments - Mentor engineers at your level and beyond, share knowledge generously, and help build a culture where people grow quickly and have real influence WHAT WE'RE LOOKING FOR - An experienced engineer with solid fundamentals, having worked across any modern tech stack - the specific language matters less than your ability to reason clearly, learn quickly, and think in trade-offs - A track record of writing maintainable, thoughtful code and making sound technical decisions with minimal oversight - Comfortable working with Ruby, or confident you can ramp up quickly in it - deep Ruby experience isn't required - Strong collaboration skills with product, design, and data partners, with genuine curiosity about users and their problems - Experience mentoring or raising the bar for engineers around you, and contributing positively to team culture - Motivated by Cleo's mission - you care about building products that genuinely improve people's financial health - Alignment with our engineering principles https://web.meetcleo.com/blog/cleo-engineering-principles - autonomy, accountability, pragmatism, and building things that matter WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!