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Location: State of São Paulo Own end-to-end data pipelines and migrations on Azure; ship reliable, production-ready data solutions, collaborate across teams, and ensure data accuracy. We are seeking a Data Engineer to join our product development team. In this role, you will design, build, and support data migrations, pipelines, and APIs that power web and mobile software applications. You will work closely with engineers and stakeholders in a collaborative, fast-paced environment. This is a hands-on technical role focused on delivering reliable, production-ready data solutions. This role focuses on building data solutions that support core business operations and application workflows, not analytics or data science use cases. What You’ll Do Collaborate with engineers to design and execute data migrations between systems Perform data mapping, transformation, validation, and reconciliation Ensure data accuracy and completeness across environments Build and maintain production data pipelines and APIs Develop scripts and services for data movement and validation Model data and analyze source and target schemas Write complex SQL queries and work with relational and NoSQL databases Identify and resolve data quality issues during migration Support the full lifecycle of delivery: design, development, deployment, testing, monitoring, and ongoing support Contribute to discussions around data quality, test strategy, and automation Integrate and manage data flows across multiple systems and applications Design and implement data models that reflect business logic and support application use cases Design and execute complex data migrations between systems, ensuring data integrity and consistency How You’ll Succeed Deliver stable, well-tested data pipelines and migration solutions Write clean, maintainable production code Maintain strong attention to detail when handling data transformations Communicate clearly with technical teammates and stakeholders Thrive in a collaborative, service-oriented environment Who You Are 3+ years of experience in a Data Engineering role. Experience working with transactional or financial data is a plus At least 5 years of experience delivering production software solutions Proficient in Python with experience shipping production pipelines Strong hands-on experience with SQL and NoSQL databases (SQL Server and MongoDB preferred) Experience building scripts or services for data movement and validation Familiar with Azure data tools (such as Azure Data Factory, Azure Data Lake, Microsoft Fabric) or comparable platforms Experience using Git or other distributed version control systems Familiar with automated deployments and continuous delivery practices Solid understanding of REST APIs, JSON, testing, security, and performance best practices Bachelor’s degree in Computer Science or related field, or equivalent experience Strong verbal and written communication skills Position Details Remote: Fully-remote Location: State of São Paulo, San José, Santo Domingo, Buenos Aires, Santiago, Bogota, Quito, Guatemala City, Tegucigalpa, Lima, Montevideo Department, Belize City, San Salvador, Toronto, Mexico City, Managua, Panama City, Milton Your partner for AI, consulting, software development, and nearshore staffing.

Location: State of São Paulo As the  Sr AI/ML Engineer, you’ll lead the development of our core machine learning systems. You’ll fine-tune large language models (LLMs), build NLP pipelines, automate insurance workflows, and implement user feedback loops for continual model improvement. This is a senior role for someone who’s not afraid of ambiguity, gets energy from building things that don’t exist yet, and wants to work on meaningful problems with a small, fast-moving team. You’ll also collaborate with the founders (CEO & CTO) to help define the company’s technical direction. Responsibilities: Natural Language Processing & Understanding: Build and fine-tune NLP systems to extract structured data and insights from dense, jargon-heavy insurance documents. Lead the development and fine-tuning of large language models tailored to our domain. Architect training workflows that use user feedback and corrections to continually improve model performance. Apply computer vision to extract data from PDFs, scanned documents, and other unstructured formats. Build intelligent agents that interact with complex web interfaces using tools like Playwright or Selenium, and a strong understanding of DOM structures. Design robust evaluation pipelines and performance metrics for all models. Help architect scalable systems to support training, inference, and feedback pipelines. You’ll be building core systems from scratch. Qualifications: 6+ years with Python development experience 4+ years experience as an AI/ML Developer. JavaScript / Node.js / React Experience with Mongo DB and AWS Upper Intermediate English level Position Details Remote: Fully-remote Location: State of São Paulo, San José, Santo Domingo, Buenos Aires, Santiago, Bogota, Quito, Guatemala City, Tegucigalpa, Lima, Montevideo Department, San Salvador, Mexico City, Panama City,  Belize City Your partner for AI, consulting, software development, and nearshore staffing.

Location: Remote - Ontario, Canada Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: At Reddit we continue to grow our teams with the best talent. We're completely remote friendly . Team Description: The Marketing Science team at Reddit leverages data to maximize the impact of Reddit’s own marketing investments. We serve as the engine behind our growth, using advanced experimentation, causal inference, and econometrics to understand what drives users to Reddit and what brings advertisers to our platform. We work at the intersection of brand building and performance marketing, ensuring every dollar spent is an investment in the long-term health of our ecosystem. Role Description: Reddit is looking for a highly experienced Staff Data Scientist to lead the strategy and technical execution of our Marketing Intelligence efforts. In this role, you will be the primary architect of how we measure and optimize Reddit’s marketing spend. You will focus on two critical flywheels: B2B Marketing (acquiring and retaining advertisers) and B2C Growth (acquiring and engaging new Redditors). This is a high-autonomy, high-impact role where you will set the long-term strategic goals for Reddit’s marketing measurement, influencing senior leadership and defining how we value our brand and performance efforts. Responsibilities: Set Long-Term Marketing Strategy: Define the 2–3 year technical roadmap for marketing measurement. Establish the "North Star" metrics and frameworks that determine how Reddit allocates hundreds of millions in marketing budget. Optimize Marketing ROI: Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to mathematically quantify the incremental impact of marketing spend. Bridge B2B & B2C Growth: Design unified frameworks to optimize marketing aimed at both new advertisers (driving revenue) and new users (driving engagement), identifying synergies where brand awareness for one fuels growth for the other. Advance Causal Inference & Experimentation: Lead the design of complex "always-on" incrementality testing and geo-holdout experiments. Develop methodologies to measure the long-term "halo effect" of brand marketing on organic growth. Lead Through Influence: Collaborate deeply with Marketing, Growth, and Finance to translate complex data insights into actionable budget shifts. Be the Technical Guide for the Team : Mentor junior scientists and set the technical bar for code quality and statistical rigor across the Marketing organization. Minimum Qualifications: Education: Advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, or a related quantitative field. Experience: For M.S. holders: 10+ years of industry experience in marketing science, growth data science, or econometrics. For Ph.D. holders: 6+ years of industry experience. Domain Expertise: Deep understanding of the marketing ecosystem, including hands-on experience with Marketing Mix Modeling (MMM), Incrementality Testing, and Customer Lifetime Value (LTV) prediction. Technical Skills: Advanced proficiency in Python or R and SQL. Experience building production-grade data pipelines and using machine learning for predictive modeling (e.g., churn prediction, lead scoring). Strategic Communication: Proven track record of influencing C-suite stakeholders and "translating" complex statistical concepts into business strategy. Adaptability: Experience working in fast-paced environments where you must navigate ambiguity and build frameworks from the ground up. Preferred Qualifications: Experience with Bayesian structural time series or causal inference libraries. Previous experience in a high-growth marketplace or social media platform. A passion for the Reddit community and an understanding of our unique "Ads-as-Content" philosophy. Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Comprehensive Medical Benefits & Health Care Spending Account Registered Retirement Savings Plan with matching contributions Income Replacement Programs Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-REMOTE In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Houston, Texas Our team is growing, and we’re always excited to meet talented educators. Join our talent pipeline and be considered for upcoming opportunities to inspire the next generation in School Leadership in the Houston area! Guidepost Montessori is a community of educators who are driven by a deep desire to bring about widespread change in education today. We believe that the traditional method of education used in most schools is antiquated, outdated, and broken. To meet the needs of today's students and to bring about true progress in the world around us, we need an education model that fosters independence and develops competent, capable, action-oriented thinkers and change agents. To that end, we are committed to dramatically increasing the amount of high-fidelity, authentic Montessori programs, not only in the U.S., but around the globe! The School Leadership Position We are looking for a leader who shares our passion for the Montessori method and has the talent and perseverance required to quickly grow enrollment, attract and retain great staff, build a strong parent community, and ensure the educational experience for each child in every classroom is of the highest standard. Responsibilities include, but are not limited to: Developing a strategic plan for the campus Creating a strong culture that embodies the mission of our organization Building a strong community among staff, parents, and children Ensuring delivery of an exceptional program Ensuring overall profitability targets are met (including managing campus budget) Working with the Assistant Head of School to ensure enrollment targets are met Hiring, supporting, developing, and managing teaching staff What we offer: Ongoing professional development A network of supportive peers and mentors who regularly share best practices Career growth and promotion opportunities A competitive salary Health, dental, and vision insurance Paid time off and paid holidays 75% tuition discount for two children at any school within our network (we serve children 3 months through 6 years old) The opportunity to contribute to a high-quality educational program that serves the individual needs of each child We'd love to talk with you if you possess: Director qualified Early childhood education leadership experience Strong organizational skills and attention to detail with a focus on results Exceptional written and verbal communication skills An aptitude for creating a warm and benevolent team culture Strong leadership and the ability to make the tough decisions with limited information A passion for getting education right through the Montessori pedagogy We will prefer you over other candidates if you have: Experience teaching within a early childhood education setting Experience as an Admissions, Administrative, Program or School Director for a preschool Familiarity with the Montessori method of education or a Montessori certification In the meantime, if you didn't see Adela's story on the main career page, see how she went from team member to school leader with a brand that is doing more than just caring for children. Guidepost Global Education and Guidepost Montessori are committed to a policy of Equal Employment Opportunity (EEO). We will not discriminate on the basis of age, sex, race, color, creed, religion, ethnicity, sexual orientation, gender identity, gender expression, national origin, alienage or citizenship, disability, marital status, military or veteran status, or any other legally recognized protected basis under applicable federal, state or local laws, regulations or ordinances. Our leadership is dedicated to ensuring the fulfillment of this policy. When requested, we are committed to reasonably accommodate employees and applicants with disabilities or special needs that may require an accommodation.

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work within a data focused function supporting Quantitative Researchers, Traders and other stakeholders across the firm. The role focuses on designing and developing financial datasets that support systematic strategies and trading decisions, with particular emphasis on market data, pricing datasets and reference data. You will combine financial market knowledge with Python and data engineering skills to build and own the automated production pipelines that create and maintain these datasets. Your future role within QRT Collaborate with Quantitative Researchers and Traders to design financial datasets that support systematic strategies and trading decisions Develop Python code to extract, clean, normalise and aggregate data from a range of financial market data sources Design, build and maintain automated data pipelines covering sourcing, extraction, transformation, validation and delivery Develop and maintain pricing and reference datasets across financial instruments and markets Investigate and resolve data quality and production issues to improve the reliability and availability of datasets Evaluate and implement new approaches to data extraction, processing and onboarding Take ownership of production data workflows and evolve them as data requirements, systems and business priorities change Your present skillset 2 to 5 years of experience in a data focused role working with financial or market data Strong understanding of financial markets and instruments, including the behaviour and characteristics of pricing and reference datasets Advanced Python programming skills, including experience with data processing libraries such as Pandas or Polars Experience designing, building and maintaining automated production data pipelines Strong data analysis and problem solving skills, with the ability to investigate data quality issues and understand their underlying causes Experience working with market data platforms and APIs from providers such as Bloomberg or LSEG is beneficial, including products such as Datastream, DataScope Select, Real Time, BPIPE or Data License Postgraduate degree in Mathematics, Physics, Engineering, Computer Science or another quantitative discipline Strong communication skills with the ability to collaborate effectively with Quantitative Researchers, Traders and other stakeholders Ability to operate effectively as priorities, systems, projects and business requirements evolve QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Europe We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones. Currently, we are looking for a CTO to join one of Toogeza’s clients. COMPANY OVERVIEW AI-native consumer mobile company with a subscription monetization model. Our iOS app is live: an AI agent with voice control that automatically assembles a finished video clip with music and subtitles from multiple videos a user uploads from their camera roll. The agent determines the theme, selects shots, edits, and adds audio. Android is in active development. We build a full-stack product: the AI agent is the core, with mobile apps, performance marketing, growth, and product analytics built around it. Industry references — Lightricks, Bending Spoons, Codeway, Photoroom: subscription mobile publishers with in-house R&D and mature growth infrastructure. CURRENT TECHNICAL LANDSCAPE The architecture is hybrid: AI video analysis runs server-side, the final clip assembly happens on-device. A strategic direction the CTO will own — gradually migrate decisions from backend to device without quality loss, to improve unit economics. The voice stack is built on third-party providers (Whisper / Deepgram / OpenAI Realtime / ElevenLabs). The CTO must evaluate trade-offs between providers across latency, cost, and quality, and decide when to replace or hybridize parts of the stack. The LLM agent (Operator / Director / Producer hierarchy) uses a memory system on pgvector + Neo4j (GraphRAG hybrid retrieval). The user portrait is built from multi-signal data — camera, voice, gallery, social analytics. TEAM The engineering team today is 6 people, all reporting directly to the CTO: - AI / Agent: 2 people (including a recently hired AI Engineer) - iOS: 2 engineers - Android: 1 engineer - Backend: 1 engineer Plus product, marketing, and growth. The plan for engineering team growth is targeted — +1–2 people over 6 months. This is not "build a team from scratch" — it is "lead an existing team and reinforce it where needed". WHY WE ARE HIRING A CTO Our product is entering a phase where the engineering team must become a full product engineering vertical with its own tempo, processes, and culture. We need a CTO who simultaneously owns three intersections: - Production mobile video stack at the level of Core Image / Metal / OpenGL ES / AVFoundation, video processing, rendering, on-device inference — real experience, not theory - Agentic AI and LLMs in production — LLM orchestration, RAG/GraphRAG, agentic architectures, memory systems, evaluation frameworks, hands-on with voice stacks - Subscription growth infrastructure at Codeway / Bending Spoons / Lightricks level — paywall A/B, MMP attribution, SKAN/AdAttributionKit, LTV/ROAS pipelines, cost optimization This is the owner of the product engineering vertical, with direct accountability for the production product, hiring, unit economics, and technical strategy. WHAT YOU WILL OWN PRODUCTION PRODUCT - Full technical ownership of the live iOS app and the Android launch - Auto-edit quality and stability: scene understanding, shot selection, beat matching, subtitle generation, thematic coherence - Voice agent: latency, recognition accuracy, dialog quality, selection and optimization of third-party providers (Whisper / Deepgram / OpenAI Realtime / ElevenLabs) - Hybrid pipeline: video analysis server-side, assembly on-device — and the strategic shift toward more on-device without quality loss - Operational excellence: uptime, incident management, AI output quality monitoring UNIT ECONOMICS AND COST OPTIMIZATION - Migrating tasks from backend to device as the key unit-economics lever — prioritization, technical plan, quality metrics during migration - GPU inference and server-side video pipeline optimization (FFmpeg, queues, CDN) - Cost management for third-party AI APIs (LLM, ASR, TTS, music generation/licensing) — hybrid of in-house and third-party - Cost-aware decisions across cloud, third-party SDKs, infrastructure ENGINEERING ORGANIZATION - Manage the current engineering team (6 people: 2 AI, 2 iOS, 1 Android, 1 backend) - Targeted hiring of 1–2 people over 6 months to address specific tasks and stack gaps - Performance reviews, technical onboarding, engineering culture - Process design — sprint cadence, code review, on-call, incident management — proportionate to stage, without premature process overhead AGENT ARCHITECTURE AND PLATFORM - Evolve product's agentic architecture (Operator / Director / Producer hierarchy) - Memory system on pgvector + Neo4j (GraphRAG hybrid retrieval), Knowledge Graph, user portrait pipeline - Voice-first interface — optimize end-to-end latency and cost through provider selection and stack hybridization - Evaluation infrastructure for LLM agents — LLM-as-judge, regression tests for edit quality and tone of voice MOBILE VIDEO STACK - iOS: Swift, Core Image, Metal, AVFoundation, Vision; on-device CoreML inference where it improves unit economics - Android (in development): Kotlin, OpenGL ES / Vulkan, MediaCodec, CameraX, ML Kit / TensorFlow Lite - Server-side rendering pipeline (FFmpeg, GPU inference), CDN, video delivery - On-device video composition, real-time preview, optimization across device classes GROWTH INFRASTRUCTURE AND UNIT ECONOMICS - Subscription stack: RevenueCat / Adapty, paywall A/B testing, server-driven paywalls - Attribution: AppsFlyer / Adjust / Branch, SKAN / AdAttributionKit, probabilistic modeling, web-to-app funnels - Product analytics and data warehouse: event pipeline, BI, cohort analysis, LTV/ROAS dashboards STRATEGY AND INVESTOR READINESS - Translate company strategy into a roadmap: from tactical quick wins to stable long-term - Tech due diligence readiness for the next round - Direct partner to the founder on product and business decisions WHO WE ARE LOOKING FOR MUST HAVE - CTO / VP Engineering / Head of Engineering experience in a consumer mobile subscription company. Experience leading a team of 10+ engineers is required; companies of 30+ people — strong plus - Production video/photo stack: Core Image, Metal, OpenGL ES / Vulkan, AVFoundation, MediaCodec — both mobile platforms - Experience migrating workloads from backend to device (on-device inference, on-device video processing) with measurable unit-economics impact - Subscription growth experience at the level of Codeway / Bending Spoons / Lightricks / Photoroom — paywall optimization, MMP attribution, post-ATT/SKAN, LTV-driven decisions - Agentic AI / LLMs in production: you understand the difference between "calling the OpenAI API" and building an agent system with memory, tools, and an eval loop. Hands-on experience with voice stacks (ASR/TTS, real-time voice agents) — required - Management maturity: hiring, performance reviews, budgeting, cost-aware decisions, business orientation STRONG PLUS - Production launch experience with an auto-edit video or voice-controlled app (Captions / Descript / Opus Clip / Submagic / CapCut-class) - Proprietary ML models in production — fine-tuning, on-device CoreML/TFLite, model distillation - Experience optimizing third-party AI API cost and latency (LLM, ASR, TTS) through hybridization and in-house replacements What’s next? If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are looking for a Quantitative Trading Analyst (QTA) to join a volatility-focused trading team. This role is ideal for candidates with 1–2 years of experience in trading, quantitative research, market making, or systematic strategies who are interested in applying quantitative thinking to volatility markets. Prior experience across a variety of asset classes is welcome — including equities, rates, credit and FX. What you’ll do Analyze, improve and implement trading strategies Develop and maintain quantitative models, analytics, and trading tools Analyze large datasets to identify market opportunities, inefficiencies, and risk exposures Actively manage live market trading algorithms Provide liquidity in options via systematic algos and voice in IDB markets Conduct research into volatility dynamics, pricing, and market microstructure Collaborate with technology teams to improve trading infrastructure and automation Support new product and market expansion initiatives across asset classes What we’re looking for 1–2 years of experience in trading, quantitative analysis, research, or a related role Strong academic background in mathematics, physics, computer science, engineering, or a similarly quantitative discipline Excellent quantitative and analytical problem-solving skills Strong understanding of probability, statistics, and market behavior Proficiency in Python; experience with SQL, R, or C++ is a plus Intellectual curiosity and a genuine interest in financial markets and volatility products Ability to work in a fast-paced, collaborative environment Strong communication skills and attention to detail Experience working with derivatives or volatility products Familiarity with options pricing, Greeks, or volatility surface analysis Experience handling large market datasets or building research pipelines For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-JW1]

Location: Batumi Workplace: remote CSM Georgia is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement. JOB DESCRIPTION & QUALIFICATION Performs tasks of welding, and repair of engine room machinery, pipelines, and steel structures. Support in maintenance activities with Dec and Engine teams. Holder of Welder certificate with LATHE machine, preferably as 6 G or Class welding Holder of a valid COC (STCW Reg III/4 or III/5) Holder of valid STCW certifications required for the position. Experienced in multicultural environments with leadership skills. Proficiency in spoken English language with safety-focused mindset.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum experience requirements: 8 months in Rank on the same type of vessel. Experience in trading area USA and Australia is recommended.   CONTRACT TERMS & CONDITIONS   Contract Duration [9 months +/- 1 months]  Contract Benefit: competitive salary Terms and condition as per CBA applicable  Free Internet onboard and wellbeing support    You may include with your application any reference, specific job qualification, and your availability date. Looking forward to welcoming you in the Columbia Group Family.

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Voodoo Ad-Network is an autonomous product of around 30 people that carries the ambitious mission of providing ad network services. One goal is to leverage Voodoo’s first-party data to improve Voodoo’s monetisation. Moreover, the product is growing through new ventures like opening up to external inventory, reaching the external-advertisers market and social-network monetisation through BeReal’s recent acquisition. Thanks to promising results, our ambition is now to scale up the team to support growth. The Ad Experience team owns the end-to-end quality of the ads delivered by our network, from ad rendering to data collection. It has a strong focus on viewability, tracker integrity and the diagnostic signals that feed our Machine Learning models. It’s composed of mostly senior Software Engineers, Mobile Developers, QA Engineers and Full Stack Engineers who iterate together to detect issues quickly, improve the user-side ad experience and protect the quality of the data flowing back into the product. ROLE We’re looking for an Experienced Data Analyst to join our Engineering & Data team. In this role, you will: - Work on end-to-end data projects with the Ad Experience squad to improve ad delivery quality, reduce ad-load and rendering failures, and maintain a high data quality. - Monitor SDK diagnostic events and build alerting, anomaly detection and root-cause analyses on top of the Ad Experience datasets. - Build data collection and transformation pipelines, and actionable dashboards. - Analyze large, complex data sets with billions of events representing the behaviour of mobile game players and of our ad network to investigate ad-quality regressions, attribution discrepancies and SDK rollouts. - Design solutions from scratch, iterate quickly, create POCs, and deploy to production rapidly. - Occasionally leverage Python skills and Statistics skills to support A/B tests on ad-experience changes PROFILE - You possess substantial experience in analytical roles, ideally within a web or mobile company or the tech or ad tech industry. - You are highly skilled in SQL and have a proven track record of building production-ready pipelines that handle large and complex data sets. - You have solid experience in ETL development. - You have solid experience with DBT. - You have practical experience with Tableau or another standard dashboard platform, and can create dashboards that are shared company-wide, facilitating data-driven decision-making across departments. - Advanced knowledge of statistical tools and models will be considered a significant advantage. - Development skills, particularly in Python, will be considered a significant advantage - You enjoy working in a fast-paced environment and are able to balance the tradeoff between time-consuming development and rapid results. - You have a solid problem solving mindset as well as a great track record demonstrating ownership and ability to come up with innovative ideas. - A BA/B.Sc degree in Statistics, Math, Engineering, Economy, or other quantitative fields is mandatory for this role. OUR STACK - DBT; Tableau; SQL; Athena; Spark; Python BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Robotics Test Engineer to support software release validation, policy evaluations, and end-to-end metrics collection on our humanoid robots. You will work alongside our Test Team, owning day-to-day execution and growing into deeper HIL and automation responsibilities. This is not a standard web-QA role. You will be running tests on real robots, comparing simulation against reality, and helping us build the data pipeline that tells us whether each new software version is ready to ship. WHAT YOU'LL DO SOFTWARE RELEASE TESTING - Release Validation: Execute the end-to-end test pipeline for each new software release, ensuring quality gates are met before the build is deployed to the fleet. - Regression Coverage: Run automated and manual regression suites against new builds; triage failures and route them to the right owner. - CI/CD Participation: Contribute new tests to our CI/CD pipeline (GitLab CI, GitHub Actions) so that regressions are caught immediately after code merges. 2. POLICY EVALUATIONS - Eval Support: Help design and run policy evaluations for our learned behaviors — defining success criteria, executing trials, and collecting results in a reproducible way. - Simulation: Run policy evaluations in simulation environments (Gazebo, NVIDIA Isaac Sim) in parallel with physical robot tests. - Sim-to-Real: Track differences between simulation and physical robot results and feed findings back to the policy team. 3. E2E METRICS COLLECTION - Metrics Pipeline: Support the collection of end-to-end performance and reliability metrics across releases, building consistent reporting the org can trust. - Dashboards: Help maintain dashboards that highlight pass/fail rates, latency, and performance trends release-over-release. - Data Hygiene: Keep test data clean and well-labeled so that long-term trends remain meaningful as the platform evolves. WHAT WE'RE LOOKING FOR - Experience: 3+ years in software test engineering or test automation, ideally with some exposure to robotics, embedded systems, or another physical-systems domain. - Coding: Strong proficiency in Python for scripting and test automation. Comfortable reading C++. - Robotics Middleware: Working knowledge of ROS2 — you understand topics, services, and how to interact with a running robot. - OS: Comfortable in Linux (Ubuntu) — terminal, shell scripting, basic system administration. - Mindset: Methodical and curious. You enjoy finding the one weird edge case that breaks the build. Nice-to-Have: - Experience with robotics simulators (Gazebo, NVIDIA Isaac Sim, Unity). - Exposure to Hardware-in-the-Loop (HIL) test benches. - Basic electrical debugging skills (multimeter, oscilloscope). - Awareness of safety-critical standards (IEC 61508, ISO 26262). TECH STACK - Languages: Python (primary), C++ (reading), Bash - Robotics: ROS / ROS2 - CI/CD: GitLab / GitHub Actions - Simulation: NVIDIA Isaac Sim - Hardware Interfaces: CAN, EtherCAT, Ethernet WHAT WE OFFER - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Equity included–we believe builders should share in what they build. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: Sydney Software Engineer – Core - Data & Lifecycle Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating across all liquid asset classes worldwide. We are a technology and data-driven organisation applying a scientific approach to investing. By combining data, research, technology, and trading expertise, we tackle complex problems in a highly collaborative environment. Our culture of innovation underpins our ambition to deliver high-quality returns for our investors. Your role at QRT We are looking for a Software Engineer to join our Core Data & Lifecycle Engineering team in Sydney. This team builds and owns critical systems that sit at the heart of QRT’s trading operations—powering trade and position lifecycle management, reference data, and reporting workflows across all asset classes. These systems are highly visible and directly influence trading decisions, risk management, and operational efficiency. This is primarily a hands-on engineering role (≈80% development), with a smaller component (≈20% support and system ownership) focused on maintaining robustness, reliability, and data quality in production. You’ll work closely with trading, research, risk, and operations teams, gaining strong exposure to the business while building scalable, high-performance systems. What you’ll work on Designing and building scalable, high-performance systems for trade and position lifecycle management Developing solutions to automate lifecycle events such as corporate actions, expiries, and cash flows across asset classes Building and maintaining high-quality reference data platforms used across trading and research Delivering real-time and end-of-day reporting pipelines for internal and external stakeholders Ensuring data accuracy, integrity, and consistency across systems and workflows Contributing to system validation, controls, and operational robustness, including alignment with brokers and fund administrators Collaborating closely with stakeholders to translate business needs into reliable technical solutions Writing well-tested, maintainable code and contributing to CI/CD and deployment pipelines Supporting production systems and continuously improving reliability, monitoring, and performance What we’re looking for 5–10 years of software engineering experience, ideally in a high-performance or data-intensive environment Strong programming skills in Python (experience with C# is a plus) Solid understanding of software design, architecture, and scalable systems Experience working with SQL and relational databases Familiarity with testing frameworks and CI/CD practices Domain experience (one or more is valuable, not required) We’re interested in engineers with exposure to financial markets, particularly: Trade and position lifecycle systems Equities, ETFs, futures, or options Corporate actions and reference data Market structure and exchange-specific behaviour Deep expertise in a single asset class is not required—but an interest in learning and working in a trading environment is important. What will set you apart Experience building systems in a quantitative trading or financial environment Strong problem-solving skills with a focus on performance, scalability, and data quality Ability to operate in a high-impact, fast-paced environment with evolving requirements Clear communication skills and a collaborative mindset Why join QRT? Work on business-critical systems with direct impact on trading outcomes Join a core engineering team with significant ownership and autonomy Collaborate with traders, researchers, and engineers in a highly technical environment Tackle complex data and systems challenges at scale

Location: Argentina; South Africa; Colombia; Mexico; Chile; Brazil About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a results-oriented Senior SDR with strong English communication skills and experience in technical sales environments. In this role, you will be responsible for identifying qualified leads, executing outbound prospecting campaigns, booking meetings for the sales team, and building relationships with prospective clients. This is an excellent opportunity for a high-performing sales professional who thrives in fast-paced environments and understands how to communicate complex technical solutions in a simple, compelling way. Key Responsibilities Conduct outbound prospecting through cold calling, email outreach, LinkedIn, and other sales channels. Identify and qualify decision-makers within target companies. Generate and schedule qualified meetings for Account Executives and leadership teams. Research prospects and tailor outreach messaging based on industry pain points. Maintain accurate CRM records and pipeline updates. Collaborate closely with sales and marketing teams to improve campaign performance. Handle high-volume outreach while maintaining strong personalization and engagement. Communicate technical products or services confidently to both technical and non-technical stakeholders. Meet and exceed KPIs related to meetings booked, pipeline generated, and response rates. Requirements 4+ years of experience as a Sales Development Representative, Business Development Representative, or outbound sales professional. Previous experience in technical sales, SaaS sales, IT services, cybersecurity, software platforms, cloud solutions, or similar industries preferred. Excellent spoken and written English communication skills with a neutral or professional accent. Strong ability to build rapport and handle objections confidently. Experience using CRMs such as HubSpot, Salesforce, Apollo, Outreach, or similar platforms. Proven track record of meeting or exceeding outbound sales targets. Comfortable working with international clients, primarily in the US, UK, or European markets. Highly organized, self-motivated, and proactive. Stable internet connection and remote work setup required. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: Pakistan; India; Nigeria; Philippines; Jamaica About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include education providers, recruitment agencies, and high-growth organizations across sectors such as EdTech, SaaS, and international student recruitment. Unlike traditional outsourcing agencies, we place you directly with a client where you become an integrated, valued member of their team with long-term career growth opportunities. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a high-performing outbound caller with proven experience in student recruitment and mandatory exposure to the Canadian education market. This role focuses on outbound lead generation, student engagement, and appointment setting with prospective students, education agents, and institutional partners. This is a hard requirement role — candidates must have prior experience working with or recruiting into the Canadian education market. The ideal candidate is proactive, empathetic, and experienced in high-volume outbound engagement within international student recruitment. Key Responsibilities Conduct outbound outreach to prospective international students interested in studying in Canada. Engage with education agents, partners, and institutional stakeholders. Generate and qualify leads through phone, email, WhatsApp, and CRM-based outreach. Book consultations and application meetings for admissions teams. Guide prospective students through early-stage application and enrollment processes. Maintain accurate CRM records and track applicant pipelines. Meet KPIs related to outreach volume, conversions, and enrolled student targets. Stay up to date with Canadian education requirements, visa processes, and institution offerings. Collaborate with admissions and marketing teams to optimize conversion rates. Requirements Proven experience in cold calling, admissions, or student recruitment roles. Preferred: Direct experience working with the Canadian education market (institutions, agents, or student recruitment into Canada). Strong outbound communication and sales ability. Experience working with international students or education agencies. Familiarity with CRM systems (HubSpot, Salesforce, or similar). Strong organizational skills and ability to manage high-volume leads. Excellent interpersonal and consultative communication skills. Target-driven and comfortable working in a KPI-focused environment. Preferred Experience Experience recruiting students for colleges or universities in Canada. Knowledge of Canadian visa processes and study permit requirements. Experience working with education agents or international recruitment networks. Benefits 💰 Competitive salary - based on experience 🌍 Fully remote role with international education market exposure 🎓 Opportunity to work in the fast-growing global education and EdTech space 📈 Clear career progression into Senior Admissions or Account Executive roles 🎯 Performance-based incentives and enrollment bonuses 🤝 Supportive, high-performance remote team environment ✈️ Exposure to international education systems, especially Canada’s top institutions

Location: United Kingdom; Bosnia and Herzegovina; Kosovo; North Macedonia; Romania; Serbia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and fast-growing commercial organizations across industries such as SaaS, MarTech, HealthTech, and Pharmaceuticals. Unlike traditional outsourcing agencies, we place you directly with a client where you become an integrated, valued member of their team with long-term career growth opportunities. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking an experienced Sales Development Representative (SDR) with proven exposure to the pharmaceutical industry or healthcare/life sciences sales environment. This role focuses on outbound prospecting, lead generation, and appointment setting with decision-makers across pharmaceutical companies, healthcare providers, and medical organizations. This is a hard requirement role — candidates must have prior experience selling into or within the pharmaceutical, healthcare, or life sciences industry. The ideal candidate is confident, structured in their outreach, and comfortable engaging senior stakeholders in a highly regulated and professional industry. Key Responsibilities Conduct outbound prospecting to identify new business opportunities within the pharmaceutical and healthcare sectors. Engage decision-makers such as procurement teams, medical directors, and commercial leaders. Generate qualified leads through cold calling, email campaigns, and LinkedIn outreach. Book high-quality meetings for senior sales executives. Research target accounts within pharma, biotech, and healthcare organizations. Maintain accurate CRM records and manage pipeline activity. Tailor outreach messaging to align with industry compliance and regulatory considerations. Consistently meet KPIs related to outreach volume, conversion rates, and meetings booked. Collaborate with internal teams to refine messaging and targeting strategies. Requirements Proven experience in an SDR, BDR, or outbound sales role. Mandatory: Prior sales experience in the pharmaceutical, healthcare, or life sciences industry. Strong understanding of B2B sales cycles in regulated industries. Experience in outbound prospecting (cold calling, email outreach, LinkedIn). Excellent communication and relationship-building skills. Experience using CRM tools such as HubSpot, Salesforce, or similar. Strong attention to detail and ability to work within compliance-sensitive environments. Highly target-driven with a proven track record of hitting or exceeding KPIs. Preferred Experience Experience selling SaaS solutions to healthcare or pharma companies. Familiarity with medical devices, clinical services, or pharmaceutical supply chains. Benefits 💰 Competitive salary and incentives (based on experience and performance) 🌍 Fully remote role with global pharmaceutical market exposure 🚀 Work with a high-growth company in the healthcare and life sciences space 📈 Strong career progression into Account Executive or Industry Specialist roles 🎯 Performance-based incentives and KPI bonuses 🤝 Supportive, high-performance remote sales culture 🧠 Opportunity to build expertise in one of the most stable and high-value industries globally

Location: United Kingdom; Bosnia and Herzegovina; Kosovo; North Macedonia; Romania; Serbia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, scale-ups, and high-growth organizations across industries such as SaaS, MarTech, CleanTech, and Environmental Services. Unlike traditional outsourcing agencies, we place you directly with a client where you become an integrated, valued member of their team with long-term career growth opportunities. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a motivated SDR with strong outbound sales experience and an interest in sustainability, environmental impact, or B2B service sales. This role focuses on generating qualified leads, engaging corporate decision-makers, and booking meetings for senior sales executives within the environmental and sustainability services space. The ideal candidate is proactive, persuasive, and comfortable selling into mid-market and enterprise-level organizations. Key Responsibilities Conduct outbound prospecting to generate new business opportunities in environmental services. Identify and engage decision-makers in operations, facilities, sustainability, and procurement roles. Educate prospects on environmental compliance, waste reduction, and sustainability solutions. Book qualified meetings for senior sales executives. Use cold calling, email outreach, and LinkedIn to build pipeline. Maintain and update CRM systems with accurate lead and activity data. Research target industries such as manufacturing, retail, logistics, and corporate enterprises. Consistently meet or exceed KPIs related to outreach, lead conversion, and meetings booked. Collaborate with marketing and sales teams to refine messaging and outreach strategy. Requirements Proven experience in an SDR, BDR, or outbound sales role. Strong outbound prospecting experience (cold calling, email, LinkedIn outreach). Excellent communication and objection-handling skills. Experience using CRM systems such as HubSpot, Salesforce, or similar. Ability to engage professional stakeholders in mid-to-enterprise organizations. Highly organized and target-driven. Interest in sustainability, ESG, or environmental solutions is highly advantageous. Preferred Experience Experience selling B2B services such as utilities, logistics, compliance, or industrial services. Familiarity with ESG reporting, sustainability consulting, or waste management sectors. Experience working with UK, EU, or US corporate clients. Benefits 💰 Competitive salary - based on experience and performance 🌍 Fully remote role with international exposure in the sustainability sector 🚀 Opportunity to work in the fast-growing green economy and ESG space 📈 Clear progression into Account Executive or Sustainability Sales roles 🎯 Performance-based incentives and KPI bonuses 🤝 Collaborative, mission-driven remote team culture 🌱 Work with companies making a real environmental impact

Location: United Kingdom; Canada; United States About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives. This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs, automation, and scalable AI infrastructure in a fully remote environment. Key Responsibilities Design, build, and deploy AI/ML models for real-world applications. Develop and optimize AI-powered features using modern frameworks and APIs. Work with Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives. Build AI pipelines for data processing, training, inference, and monitoring. Collaborate with cross-functional teams to translate business needs into AI solutions. Integrate AI services into web applications, SaaS platforms, and internal tools. Fine-tune and evaluate machine learning models for performance and scalability. Maintain documentation and ensure AI systems follow security and compliance best practices. Stay updated with the latest advancements in AI, machine learning, and automation technologies. Requirements 2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role. Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain. Experience working with LLMs, generative AI, prompt engineering, or AI agents . Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG). Experience deploying models using cloud platforms like AWS, Azure, or Google Cloud. Understanding of APIs, microservices, and backend development. Experience with Docker, Git, and CI/CD workflows. Strong analytical and problem-solving skills. Excellent communication skills and ability to work remotely with global teams. Bachelor’s degree in Computer Science, AI, Data Science, or related field preferred. Experience with AI automation tools and agent frameworks. Knowledge of MLOps and model monitoring tools. Familiarity with NLP, computer vision, or recommendation systems. Experience building AI SaaS products or chatbots. Exposure to FastAPI, Node.js, or React-based applications. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: Montreal; Canada; Serbia Workplace: remote ABOUT YOU We are looking for a Tech Lead to drive delivery and cross-team coordination for the Shop Builder DevX and AI team. You are the bridge between architecture and execution: you take the technical direction set by the Principal Engineer and turn it into a running, shipping team. You lead a squad of three engineers building the developer surface that Shop Builder is missing — MCP server, CLI, SDK, documentation pipeline, local dev environment, deploy and versioning path. You set the delivery cadence, remove blockers, coordinate inbound dependencies from payments, auth, live ops, and catalog, and own the quality of what ships. This is a hands-on role. You write production code, lead code reviews, and drive technical decisions within your domain. You also have the seniority and judgment to coordinate across teams and represent the team's work to engineering leadership. ABOUT US Xsolla is a global payments and commerce platform for the games industry, used by thousands of publishers to monetize, distribute, and operate their titles worldwide. Shop Builder is Xsolla's storefront platform — used by publishers and game developers to launch and operate game shops, from straightforward catalog and webshops to fully custom storefronts built headless on our backend. For more information, visit xsolla.com. The DevX and AI team owns the public APIs, documentation, and AI features that give developers — and AI agents — the full surface they need to customize and extend Shop Builder. This is a net-new team of seven, standing up to fill a real gap: no dedicated team has owned the developer surface end to end. That changes now. Responsibilities Drive the delivery of the Shop Builder developer surface: MCP server, CLI and local dev environment, public SDK, documentation pipeline, sandbox and preview environments, deploy and versioning path. Lead and mentor a team of three engineers — setting technical direction within the squad, running code reviews, and ensuring consistent engineering quality. Own cross-team coordination: identify and pull inbound API capabilities from payments, auth, live ops, and catalog teams; unblock dependencies; manage integration timelines. Actively contribute to implementation — you ship production code alongside the team, particularly on the most critical and complex components. Partner with the Principal Engineer to translate architecture decisions into sprint-level execution plans and realistic timelines. Collaborate with the PO on roadmap sequencing, scope decisions, and trade-offs between speed and correctness. Own the team's delivery rhythm: sprint planning, technical grooming, retrospectives, and status visibility to engineering and business leadership. Define and maintain the team's engineering standards: testing strategy, observability, deployment practices, and documentation quality. Act as the primary technical contact for integrations with headless partners and the MIT professional services team during early partner onboarding. Contribute to hiring by conducting technical interviews and defining what great looks like for the engineers joining this team. Qualifications & Skills 6+ years of professional software engineering experience, with at least 2 years in a tech lead, staff, or senior lead role driving delivery across a team. Strong proficiency in JavaScript/TypeScript and Node.js, with experience shipping production APIs, CLIs, or SDKs to external developers. Hands-on experience building CLI tools and developer-facing workflows: command design, config file formats, local dev loops, deploy commands, and error messages that actually help. Solid understanding of REST API design principles, SDK ergonomics, and what makes a developer experience work — you have strong opinions and can back them up. Practical familiarity with the Model Context Protocol (MCP) or agentic tool-use patterns: you understand how AI agents consume tool interfaces and what makes a tool reliable for an LLM. Experience coordinating across multiple engineering teams to ship features that depend on inbound capabilities you don't own. Proven ability to lead engineers: clear technical direction, raising the quality bar through reviews, developing other engineers' skills. Cloud-native experience: CI/CD pipelines, containerization (Docker/Kubernetes), and deployment automation on AWS or GCP. Strong communication skills — you translate technical complexity into clear status for leadership, and technical requirements into actionable work for your team. Nice to Have Experience in game tech, digital commerce, storefront platforms, or headless architecture. Background building React component libraries, design systems, or frontend platforms consumed by external developers. Experience building sandboxed execution environments for third-party code (custom blocks, extensions, plugins). Familiarity with LLM-generated code evaluation: assessing whether an AI-produced block, component, or layout is correct and safe to ship. Prior experience standing up a greenfield team from scratch and knowing what that demands. Exposure to documentation-as-code workflows and toolchains that publish to multiple surfaces from a single source of truth. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.   We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For this role, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: Montreal; Canada; Serbia Workplace: remote ABOUT YOU We are looking for a Principal Engineer to take architectural ownership of the agent-readable Shop Builder platform. This is the most senior individual contributor role on the DevX and AI team, and the decisions you make here — which surfaces to expose, which formats to support, which standards to set — will bind the platform for years. You are not a manager, but your influence is org-wide. You define how developers and AI agents interact with Shop Builder's foundational capabilities: UI as Data, custom blocks, themes, data binding, catalog, payments. You are the technical authority on what the platform exposes and how, and you are deeply hands-on with the hardest parts of that work.   ABOUT US Xsolla is a global payments and commerce platform for the games industry, used by thousands of publishers to monetize, distribute, and operate their titles worldwide. Shop Builder is Xsolla's storefront platform — used by publishers and game developers to launch and operate game shops, from straightforward catalog and webshops to fully custom storefronts built headless on our backend. For more information, visit xsolla.com. The DevX and AI team owns the public APIs, documentation, and AI features that give developers — and AI agents — the full surface they need to customize and extend Shop Builder. This is a net-new team of seven, standing up to fill a real gap: no dedicated team has owned the developer surface end to end. That changes now. Responsibilities Own the technical architecture of the agent-readable Shop Builder platform: which APIs to expose, in what shape, through which surfaces (REST, SDK, MCP, CLI). Define the interface contracts that LLMs and developers interact with — React component APIs, custom block schemas, theme tokens, data binding formats — and maintain them with the rigor of a public API. Design and lead delivery of the MCP server that allows AI agents (Claude Code, Cursor, etc.) to build, deploy, and operate Shop Builder storefronts end-to-end without the editor in the loop. Architect the CLI and local development environment: how developers scaffold projects, iterate locally, preview changes, and push to production. Define the deploy, versioning, and rollback model for developer-published content — custom blocks, themes, and layouts. Design the sandbox and preview environment system so agents and developers can iterate without touching live partner sites. Set the documentation standard: written for LLMs and humans as first-class users, maintained from single canonical sources and published to every surface (CLI help, dev docs, MCP tool descriptions, AI context). Lead the eval harness architecture: how the team measures whether an LLM-generated block, theme, or layout is correct before it ships. Collaborate with Principal/Staff Engineers across payments, auth, live ops, and catalog to pull inbound capabilities into coherent developer-facing surfaces. Serve as the technical bar-raiser for the team: define code standards, review critical implementation decisions, and mentor the Tech Lead and engineers. Contribute to hiring and define the technical culture of the team from day one. Qualifications & Skills 10+ years of professional engineering experience, with a demonstrated track record as a Staff or Principal engineer who has shaped platforms, APIs, or developer tooling used by external builders. Deep expertise in designing and shipping public APIs and SDKs, including versioning strategy, backwards compatibility, and developer ergonomics — strong opinions about what makes an API delightful vs. painful. Expert-level proficiency in JavaScript/TypeScript and React — the primary interface language for LLMs and developers on this platform. Hands-on experience building CLI tooling and local developer workflows (scaffolding, hot reload, file-based config, deploy commands). Solid understanding of the Model Context Protocol (MCP) or equivalent agentic tool-use interfaces, and practical experience building tools that AI agents can reliably invoke. Experience building systems at global scale on cloud infrastructure (AWS or GCP), with deep knowledge of containerization, CI/CD, and infrastructure-as-code. Ability to write and reason about LLM-friendly documentation and API surfaces: you understand that token-efficiency, predictability, and schema clarity matter as much as human readability. Exceptional technical communication: clear RFCs and ADRs, productive architecture reviews, and the ability to explain second-order consequences to engineering and business leadership. Comfort operating in a greenfield context — you define the structure rather than inherit it. Nice to Have Prior experience in game tech, digital commerce, or storefront platforms — understanding the publisher/developer relationship and headless vs. hosted deployment patterns. Experience building platforms where AI agents are a first-class user: MCP servers, LLM tool registries, agent eval pipelines. Familiarity with Figma's plugin/component API, design token standards, and design-to-code pipelines. Contributions to open-source developer tooling, SDK frameworks, or API standards. Background in block or extension marketplace design: sandboxing third-party code, schema validation, publisher ecosystems. Published technical writing, conference talks, or influential community presence in developer tooling or AI-native development. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.   We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For this role, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.