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Location: Tbilisi, Georgia Workplace: remote At Novakid, we’re building one of the world’s most engaging online English-learning platforms for kids. Today, we serve 100,000+ students and work with 4,000 + teachers across 15+ countries. We’ve already proven the demand. Now we’re scaling the platform, expanding AI-driven learning experiences, and rethinking how our backend should evolve for the next stage of growth. This is where you come in. About the Role Novakid is hiring a Head of Data & Analytics to lead the next stage of our analytics evolution — transforming a strong existing foundation into a modern, AI-enabled decision system that scales with the business. This is a strategic leadership role with broad scope: you'll own the analytics organization, the technology transformation, data science, and the data culture across the company. You won't be starting from scratch — you'll be accelerating a transformation already underway. What You'll Lead Analytics Strategy & Operating Model Define how data and analytics supports growth, product development, commercial performance, and operations. Shape what is self-serve, AI-assisted, automated, and expert-led. Analytics Team Leadership Lead a team of analysts embedded across product squads and business functions. Raise the bar on speed, strategic impact, and self-service enablement while keeping analysts focused on the highest-value work. AI-Powered Analytics Scale practical AI use cases: natural-language data access, AI-assisted insight generation, anomaly detection, automated reporting, and productivity tooling for analysts and stakeholders. Experimentation & A/B Testing Strengthen Novakid's experimentation culture — making it faster and easier to design, launch, measure, and learn from experiments without heavy analyst involvement at every step. Data Science Build a structured, high-impact data science capability spanning ML for business use cases, forecasting, experimentation support, AI-powered product features, and research for new learning experiences. Metric Governance & Data Foundation Drive clearer KPI ownership, stronger documentation, and a trusted semantic layer across Product, Growth, Sales, Marketing, and Finance — reducing ambiguity and conflicting interpretations. What Success Looks Like Faster turnaround on common business questions and broader stakeholder self-service A modern AI-enabled analytics capability adopted across the company A stronger experimentation practice with less dependency on analyst bandwidth Clear KPI ownership and trusted, well-documented data A well-structured data science function supporting both business and product innovation Strong executive confidence in data-driven decision-making What We're Looking For Significant leadership experience in analytics, BI, or data functions within high-growth digital businesses Proven track record transforming analytics toward scalable, self-serve, AI-enabled models Strong technical grounding in modern data stacks, cloud warehouses (we use BigQuery), BI tooling, and semantic modeling Hands-on SQL fluency and solid understanding of analytics engineering principles Experience leading or reshaping embedded analyst teams Practical, hands-on experience applying AI in analytics at scale Experience building or rebuilding a data science function spanning business support and product features What we offer… Fully remote work A chance to shape the future of AI-driven education. A fun, dynamic team that loves building innovative products.Unlimited holidays – because we trust you to deliver. Bonuses and stock options – we grow together

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 Lead Data Scientist for SpinLab. Location: Remote Job Type: Full-Time ABOUT OUR CLIENT: Spinlab helps slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. The company collects and processes data using advanced methods and technologies to provide clients with clear, actionable recommendations based on real metrics. SpinLab’s goal is not just to collect data but to help businesses use it for maximum efficiency and amplify their performance results. Role Overview: As a Lead Data Scientist, you will combine hands-on expertise, technical leadership, and product thinking to drive the development of scalable ML solutions. You will play a key role in: - Ensuring what we build drives business value - Defining how we build (processes, standards, scalability, performance) This role requires close collaboration with product and business stakeholders to translate complex problems into practical, high-impact solutions. Responsibilities: - Work closely with product and business teams to: - Translate business problems into data science solutions or data analytics researches - Define clear success metrics and KPIs - Turn insights into actionable recommendations that impact revenue and player behavior - Ensure all models and analyses are aligned with real business outcomes, not just technical performance - Design, build, and deploy ML models (e.g., churn prediction, LTV forecasting, revenue uplift, player segmentation) from experimentation to production. - Define and implement standardized, scalable DS/DA processes across the team: - Model development lifecycle (design → validation → production) - Code quality, documentation, and reproducibility - Experimentation and evaluation frameworks - Continuously improve delivery efficiency, reducing time from idea → production - Identify opportunities to automate manual analytical workflows using AI/ML Requirements: - Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science,Economics, or a related quantitative field. - 5+ years of experience as a Senior Data Scientist role/Lead role, leading both analytical and data science domain work. - Strong SQL and Python skills; experience with large datasets, notebooks, reproducible analysis, and Git-based workflows. - Solid knowledge of ML, statistics, experimental design, A/B testing, holdout evaluation, and business KPI analysis. - Commercial experience with predictive modeling, classification, segmentation,forecasting, model evaluation, and business impact measurement. - Experience with churn, uplift, LTV, retention, campaign analytics, or user behaviormodeling is a strong advantage. - Strong analytical and problem-solving mindset; ability to find the story in the data:uncovering trends and explaining them in clear business terms. - Commercial Experience working with large datasets and distributed computing tools(BigQuery, Spark, Hive, or similar). - Solid understanding of experimental design and statistical testing (A/B testing,hypothesis testing, confidence intervals). - Familiarity with causal inference techniques (e.g., Propensity Score Matching, Instrumental Variables, Difference-in-Differences, uplift modeling), and predictivemodeling techniques. - English B2+ Will be a plus: - Experience in gaming, gambling, fintech, e-commerce, subscription, or other user-behavior-driven products. - Experience with BI tools such as Tableau, Looker, or Power BI. - Product mindset: the ability to go beyond numbers and propose actionable solutionsthat make an impact. Benefits: - Work on meaningful data products and shape them with your vision. - 25 vacation days + 15 sick days + 1 birthday leave. - Budget for English classes. - Budget for health insurance. - Annual education & development budget. - Remote-friendly culture with a small, dedicated team. 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: Serbia; Latvia; Czech Republic; Spain; Poland; Montenegro; European Union; Ukraine; Cyprus; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE Join Ruby Labs as a Senior Data Analyst and become a key part of our fast-paced, rapidly growing team working on a new product – a job application platform that streamlines the hiring journey for professionals. In this role, you'll collect, categorize, and analyze data to create actionable reports that drive decision-making across the company. You'll uncover insights, identify growth opportunities, establish key benchmarks, and ensure we deliver a product that truly satisfies our customers' needs. We expect you to take full ownership of data pipelines, analytics, and insights, ensuring every decision is backed by reliable data. You'll work in a professional and dynamic environment where accuracy matters, constantly validating that our data is meaningful and actionable. WHY JOIN US - Work on an outstanding product: Our platform is trendy, fast-scaling, and redefining how people change their professional roles. - Make a direct impact: As a Senior Data Analyst, your insights will guide product decisions, influence the roadmap, and shape user experiences. - Tackle meaningful challenges: From decoding user intent across millions of interactions to optimising conversion funnels, you’ll face complex and exciting problems every day. - Grow with us: This is an ambitious journey with huge potential – perfect for someone eager to grow alongside a cutting-edge product and market. KEY RESPONSIBILITIES - Partner with Product Owners and Data Teams across marketing, billing, and product domains. - Create new dashboards, maintain and improve existing reports such as Product Reports. - User behavior analysis, aha moment analysis. - Analyse data to generate actionable insights, find trends, patterns and provide recommendations to maximize KPIs. - Design and conduct A/B tests and homogeneity tests to validate hypotheses and measure impact. - Monitor metrics across all domains. - Design and build robust data models in SQL. - Give and receive actionable feedback to and from peers and the Leadership Team. QUALIFICATIONS - Degree in an analytical field such as Math, Data Science or Economics. - At least 3+ years of work experience as a Data Analyst. - Strong analytical and problem-solving skills, with the ability to identify trends, patterns, and insights in large datasets. - Excellent verbal communication. - Ability to think strategically and make data-driven decisions that align with the organisation’s goals. - Experience in Product Analytics. - Experience with Mixpanel, GA4, Amplitude or similar. - Advanced SQL. - Experience with popular BI tools such as Tableau, Looker, or similar. - Experience in subscription business. - Ability to adapt quickly, learn new tools and methods efficiently, and work effectively in a high-pressure, fast-changing environment. - Fluent English and Russian/Ukrainian. NICE TO HAVE - Experience in Marketing Analytics. - Experience with Python, R. - Experience with GCP, BigQuery. - Experience with Google Ads, Facebook Ads etc. - Experience with orchestration frameworks such as Airflow. - Experience with git and code review process. LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (90 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE:  As a c at fal, you will build the data infrastructure that turns our internal systems and external vendor relationships into a clear picture of cost, margin, and performance. Your work spans both edges of our stack - the production infrastructure that runs every model invocation, and the partner APIs and compute vendors whose costs we need to reason about in near real-time. This role sits at the intersection of software engineering and data engineering. You'll partner closely with Infra to safely instrument core systems, design a low-latency analytical write path, and stand up the ingestion pipelines that unlock cost, margin, and infrastructure analytics for the entire company. You will be a force multiplier - freeing up product engineers and infra to focus on what they do best while giving the data team the foundations it needs to move fast. WHAT YOU'LL DO - Instrument fal's core infrastructure to capture CPU, GPU, and request-level signals, working alongside our infra team to land changes safely in critical paths. - Build ingestion pipelines from partner APIs, compute vendors, and internal services into BigQuery and a new low-latency analytical store (e.g., ClickHouse). - Design and operate the ETL backbone that powers cost, margin, and usage analytics with durable, observable pipelines. - Stand up a lightweight, low-latency write path that the data team and product engineers can target directly for analytics-grade telemetry. - Partner with infra, data and product engineering to define data contracts and instrumentation standards, and act as the connective tissue between operational systems and the analytics layer. QUALIFICATIONS/NICE TO HAVES - 5+ years of experience as a software or data engineer, with a software-engineering-heavy track record (Python, Go, or similar) - Demonstrated ability to ship code into critical production infrastructure safely, including familiarity with database performance, query patterns, and incident risk. - Hands-on experience building ingestion pipelines into a warehouse (BigQuery, Snowflake, Redshift) and at least one low-latency analytical store (ClickHouse, Druid, Pinot, or similar). - Strong SQL and working proficiency in dbt and orchestration tooling (Dagster, Airflow, Prefect). - Track record of partnering across teams (infra, product engineering, data) and translating business questions into durable systems. - Bias for action and comfort working in fast-moving, ambiguous environments. - Experience instrumenting GPU/accelerator workloads or other infrastructure-cost-heavy systems. - Exposure to FinOps or infrastructure cost modeling at a cloud-native company. - Experience with developer-facing API products or platforms. - Early-stage or fast-scaling startup experience. WHAT WE OFFER AT FAL - Interesting and challenging work - A lot of learning and growth opportunities - We are currently hiring in downtown San Francisco. - We offer relocation assistance to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites COMPENSATION - $180,000 – $225,000 OTE + equity + comprehensive benefits U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: ES - Barcelona, Spain We are looking for Data Analyst (CRM), to join our team in Barcelona. At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. What Will You Do The CRM Analyst is the measurement and intelligence engine of the central CRM organization. Operating across all game titles, this person pulls, verifies, and reports on campaign performance; tracks trends; and ensures experimentation is structured to produce reliable, actionable results. Critically, they look beyond individual game performance to surface portfolio-wide segment insights - understanding how key player cohorts like VIPs, regular customers, new players, and conversion targets perform across the full game catalog. Campaign Reporting & Performance Pull and verify campaign data from the CRM platform and downstream analytics systems, reconciling any discrepancies Produce regular campaign performance reports for each game team and portfolio-level summaries for the Director of CRM Track trends over time — open rates, click rates, conversion, retention impact — and flag anomalies or degradation Create and maintain dashboards that give CRM/Lifecycle Lead PMs visibility into the performance of their communication programs Experimentation Design & Governance Support CRM/Lifecycle Lead PMs in designing A/B and multivariate tests, ensuring appropriate sample sizes, holdout groups, and clean control conditions Maintain an experimentation log across all games to prevent conflicting tests and ensure results can be interpreted confidently Review proposed experiments for methodological soundness before launch Analyze and present experiment results with clear, actionable recommendations Cross-Portfolio Segment Insights Define and maintain segment definitions across the portfolio (e.g., VIP, Regular Customer, New Player, Lapsed, Conversion Candidate) Track how these segments behave and respond to CRM across multiple titles, identifying patterns and outliers Produce regular cross-game segment reports that help the Director of CRM and game teams understand what works universally versus what is title-specific Identify high-value segment opportunities that are underserved by current campaigns Data Integrity & Targeting Validation Validate that targeting attributes used in campaigns are correctly populated and reliably representing the intended audience Partner with Data Engineering to surface data quality issues and advocate for fixes Verify that audience sizes match expectations prior to campaign launch What We’re Looking For 4+ years in marketing analytics, CRM analytics, or a related data role - ideally in a behavior-based vs transactional environment -  like gaming or live services. Proficiency with SQL and at least one BI or reporting tool (e.g., Looker, Tableau, Mode, or equivalent) Experience working with CRM or marketing automation platforms to extract and interpret campaign data Experience with both performance data and attribution data and able to ensure appropriate tracking is in place. Ability to represent data needs to engineers if necessary data options are not available. Understanding of A/Bn testing methodology, statistical significance, and experiment design across a complex set of overlapping campaigns. Ability to communicate data findings clearly to both technical and non-technical stakeholders Experience in games, apps, or a retention-driven consumer product is a strong plus Comfortable managing multiple reporting workstreams simultaneously across different game teams Experience in gaming as a player or operations manager preferred. Technical Skills SQL (required) Excel / Google Sheets (advanced functions, pivot tables) BI tools (Looker, Tableau, Amplitude, etc.) Familiarity with event tracking tools (Segment, Snowflake, BigQuery, etc.) Basic understanding of data pipelines and data quality checks About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Abu Dhabi, UAE; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Position Overview We are seeking a highly analytical and data-driven Risk Strategy Specialist to design, optimize, and scale our risk automation framework. In this role, you will be responsible for protecting our platform against peer-to-peer transaction risks, including account takeovers, social engineering scams, money laundering, and payment velocity abuse. You will combine a strong Data background with hands-on coding in Python and SQL to detect subtle fraud patterns across massive transaction ecosystems. Key Responsibilities Pattern Detection & Behavioral Analysis: Mine high-volume, multi-dimensional transaction and event logs to uncover emerging fraud vectors, synthetic networks, collusion rings, and anomalous transfer patterns. Risk Strategy Development: Design, implement, and iterate real-time decisioning rules and risk policies (e.g., dynamic transfer limits, step-up authentication, cooling-off periods) to mitigate risk while preserving a frictionless user experience. Advanced Data Analysis: Write production-grade, optimized SQL and Python scripts to analyze network graphs, transaction velocity, device signals, and user interaction metrics. Model Integration & Experimentation: translate models into operational strategies, establish decision thresholds, and run A/B tests to quantify strategy performance. Post-Mortem & Loss Mitigation: Perform quantitative root-cause analysis on fraudulent transactions, chargebacks, and ATO incidents to plug strategy gaps and minimize direct financial losses. Risk Performance Monitoring: Build and maintain automated dashboards and KPI tracking systems Qualifications & Requirements Core Requirements: 3+ years of experience in risk strategy, transaction monitoring, payment fraud analysis, or trust & safety within Fintech, Banking, or Digital Marketplaces. Advanced SQL Skills: Proficient in complex joins, window functions, CTEs, and optimizing queries on large-scale distributed databases (e.g., Snowflake, BigQuery, Redshift). Proficient in Python: Strong experience using Python libraries ( pandas , numpy , scikit-learn , networkx ) for data manipulation, exploratory data analysis, and rule automation. Pattern Detection & Analytics: Proven track record of identifying complex fraud networks, transaction velocity anomalies, or multi-account abuse patterns. Preferred Experience & Education: Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, Economics, or a related quantitative field ( Data Science background strongly preferred ). Direct experience with payment mechanisms , real-time settlement rails, card-to-card transfers, or digital wallets. Hands-on experience with graph theory/network analysis (identifying linked accounts, shared device fingerprints, IP linkages). Familiarity with machine learning workflows, rule engine architectures, and dynamic risk-scoring frameworks. Strategic Problem Solver: Comfortable tackling ambiguous, rapidly evolving risk problems in a fast-paced environment. Cross-Functional Communication: Excellent at translating data science insights and technical risk concepts into strategic recommendations for business stakeholders. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: New York, NY Workplace: OnSite ABOUT THE COMPANY Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. OUR ETHOS We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. ABOUT THE ROLE Rain is hiring a Senior Product Data Analyst to be the analytical engine behind our product team. Payments and stablecoin infrastructure generate enormous, rich, and consequential datasets — authorization patterns, ledger movements, partner usage, cardholder behavior — and the decisions we make on top of that data shape the experience for our partners and millions of their end users. This is a senior individual contributor role embedded directly with product. You'll partner with PMs, engineers, and partnerships leads to turn raw data into the sharpest possible product judgment: defining metrics, designing experiments, sizing opportunities, and pulling on the threads that reveal where the product is working and where it isn't. You'll set the analytical bar for the company and own the questions that matter most. WHAT YOU'LL DO • Partner with product leadership as the embedded analyst across cards, payments, and platform — defining the metrics, building the dashboards, and answering the questions that drive roadmap decisions • Design and analyze experiments end to end — hypothesis, sizing, instrumentation, readout, and the prioritization decisions that follow • Run deep-dive analyses on partner usage, activation, retention, and economics, and translate them into sharp, opinionated recommendations • Own the metrics framework for product — what we measure, how we measure it, and what "good" looks like across each surface • Build self-serve analytics, dashboards, and tooling that let the rest of the company answer their own questions, and raise the bar for data literacy across product • Partner with data engineering on the underlying data model — how events, ledger entries, authorizations, and partner data should be shaped to support fast, trustworthy analysis • Surface insights proactively — find the things no one thought to ask and bring them to the team with a clear point of view WHAT WE'RE LOOKING FOR • 5–8 years of analytics experience, with a track record of operating as the analytical partner to product teams shipping consumer or platform products at a product-led company with a strong engineering culture and high bar for quality • Exceptional analytical rigor and product judgment — you're someone others describe as one of the sharpest analysts they've worked with, and you consistently raise the bar for the people around you • A senior, autonomous operator who can scope the question, design the analysis, and own the recommendation without needing close direction • Expert SQL and strong working fluency with at least one analytics scripting language (Python or R), modern data warehouses (Snowflake, BigQuery, Redshift, or similar), and BI/visualization tools (Lightdash preferred) • Strong technical fluency — you can read product code, understand event schemas, and pull on technical threads yourself rather than defer to engineering • Genuinely excited to live in the details — you believe correct, trustworthy data is won in the specifics and are energized by the work to get them right • Excellent written and verbal communication; you can translate a complex analysis into a clear, opinionated recommendation that ships decisions • Proven ability to design and run experiments, measure adoption, and iterate quickly in a fast-moving environment NICE TO HAVE, BUT NOT MANDATORY • Experience analyzing payments, card issuing, or cross-border fintech products • Exposure to stablecoins, crypto, or on-chain data • Previous startup or hypergrowth environment experience • Experience standing up an analytics function from early days ROLE DETAILS • Individual contributor role (no direct reports) • Hybrid schedule based in our New York City office Things that enable a fulfilling, healthy, and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: Singapore Workplace: Remote ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta. As a Consulting Engineer, you're the hands-on engineer on our customers' most important projects. When a customer needs to migrate, integrate, or prove ClickHouse on a real workload, you work in the build alongside their engineers: you design it, build it, test it and hand it over. You'll work on a broad mix of projects for customers across APJ, from moving large workloads off other databases to building new real-time analytics on ClickHouse. Each one is scoped with clear goals from the start, so you know what success looks like and can get stuck in. It's a fast way to build deep experience across lots of different data problems. The consulting function at ClickHouse is less than a year old, so you'll help shape how ClickHouse delivers this work as the team grows. Between projects you take cases alongside support engineers, which keeps you close to day-to-day support. WHAT YOU'LL DO - Turn customer goals into a scoped project with measurable success criteria, sizing and a timeline - Design a target architecture and prove it against the customer's own data: schema and engine design, capacity and sizing, proofs of concept - Do the build: implementation, pipelines and integrations, migration execution, tooling and automation - Measure it before it matters, with benchmarking, load and functional testing, then support the cutover - Tune what production reveals, then hand over with an engagement report and knowledge transfer, so the customer's team can run it without you - Take L1 to L3 cases alongside support engineers when you're between projects - Feed what you see in the field back to Product and Engineering, and turn your work into reference architectures, knowledge base articles and blog posts - Work in a constant feedback loop with the Pre-sales team to ensure that the demos and POCs they present are credible when you put them into production WHAT YOU'LL BRING - 5+ years delivering hands-on technical work for customers, whether your title was consultant, professional services, solutions architect, senior support, SRE or something else - Real depth in databases, whether analytical, transactional or relational - Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself - You've owned implementations, migrations or POCs for external customers from start to finish - Hands-on cloud experience (AWS, GCP and/or Azure) - You've deployed and run workloads on Kubernetes yourself - You've run distributed systems, such as distributed databases, in production - You give precise technical answers and explain them clearly - Fluent English NICE TO HAVE - Experience with ClickHouse - Migrating analytical workloads from systems such as PostgreSQL, Snowflake, BigQuery or Elastic - Terraform - Data pipelines and streaming, such as Kafka, Kinesis, Spark or Debezium - Python, Bash or Go - Involvement in open source, as a user, contributor or community member GOOD TO KNOW - This role is remote in Singapore - Travel to customer sites is part of the job, up to 35% of your time, depending on the project: some need none, others weekly visits - You'll join our APJ Support Services team, alongside Support Engineers and TAM Architects - You'll be part of the on-call rotation, about one week a quarter, with time off in lieu if you're paged at a weekend HOW WE HIRE - A 30-minute call with our recruiter - A conversation with the hiring manager - A take-home exercise, designed to take three to four hours, with three working days to complete it - A 90-minute technical interview with the team: you'll walk us through your take-home, then join a working session where you write and tune SQL live - A final conversation with our VP of Support Services - References, then an offer The working session is without AI tools, so make sure you're comfortable writing queries from scratch. Download open-source ClickHouse and practise: it's free, easy to install, and great preparation. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Global Remote Workplace: remote Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.   We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies. Our engineering team of ~70 people is fully distributed across the globe, and we work hard to build an async-friendly, shipping-focused engineering culture.   About the Role   We're seeking CI Engineers to join our engineering team and help keep our testing and release infrastructure healthy, fast, and reliable. This is a critical role — our CI and testing systems are complex, deeply relied upon, and continuously evolving.   You won't be writing product features, and you won't be expected to author new test coverage. Instead, your job is to own the health and reliability of our CI systems end to end. That means supporting the engineers who are writing tests, but it also means taking initiative — spotting problems before they become outages, identifying patterns in flakiness before they erode confidence in the test suite, and proactively improving the release process rather than waiting for things to break. We want someone who feels a genuine sense of ownership over these systems and acts accordingly.   This is a great role for a self-directed engineer who takes pride in the reliability of the infrastructure others depend on, and who can both identify problems as well as solve them. What You'll Do Own and proactively improve our GitHub Actions-based CI pipelines — not just fixing what breaks, but anticipating bottlenecks and reliability issues before they impact the team Triage and resolve flaky tests across a large, multi-layered test suite spanning unit, integration, and end-to-end tests — identifying systemic patterns, not just one-off fixes Support ongoing releases and take ownership of improving the release process over time Act as a first responder to emergent CI infrastructure issues, diagnosing and resolving them quickly and independently Support product engineers who are writing tests using Cypress, Jest, and our home-grown Clojure-based test frameworks Manage test infrastructure across a wide matrix of databases — we test against nearly all major transactional and analytical cloud databases including PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, and more Document and communicate clearly and asynchronously across a globally distributed team — and keep the broader engineering team informed about the state of CI health without being asked, as well as communicating and demonstrating best practices. What We're Looking For Demonstrated experience working with CI/CD systems in a professional engineering environment — you don't need to be a 10-year veteran, but you need to have done this work, done it well, and owned it A proactive, ownership-driven mindset — you notice things that are heading in the wrong direction and fix them without waiting to be asked The independence to manage your own priorities and operate effectively without close supervision across a globally distributed team Solid understanding of GitHub Actions or comparable CI platforms Experience with JavaScript testing tools, particularly Cypress and/or Jest Comfort with containerization (Docker) — our database test matrix depends on it Solid shell scripting skills (Bash) Experience diagnosing and fixing flaky tests in large test suites Strong async written communication skills — this is a remote-first, globally distributed team Curiosity and a systematic approach to debugging unfamiliar systems Nice to Have Familiarity with Clojure and TypeScript Experience testing against or operating cloud data warehouses or analytical databases Experience building and supporting software release pipelines Why This Role You'll have real ownership over systems that directly affect the productivity of a 70-person engineering team You'll work on infrastructure that supports widely used open source software Fully remote, any timezone — we're serious about async-first culture You'll have the autonomy to identify and drive improvements rather than just work a ticket queue Compensation The US base salary range for this role is $116K–$213K annually, plus equity and benefits. Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors. Benefits We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment. We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.   For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.   E-Verify Participation Notice (English/Spanish) Right to Work Notice (English/Spanish)

Location: CIS; Baku; Serbia Workplace: remote ABOUT YOU   We are seeking a highly analytical and hands-on Senior FinOps Engineer to lead and mature our cloud and infrastructure financial management capabilities across GCP, AWS, and on-prem environments. As part of our talented infrastructure team, you will drive cost transparency, optimize cloud spend at scale, and partner with engineering, product, and finance teams to ensure that Xsolla’s global infrastructure is efficient, predictable, and aligned with business priorities.   The ideal candidate brings a deep technical understanding of modern cloud platforms (GCP / AWS) and experience working in Kubernetes-centric environments. You excel at turning complex usage patterns into actionable insights, influencing technical teams, and establishing a culture of cost accountability and data-driven decision-making. You balance tactical optimizations with long-term architectural improvements and know how to navigate both engineering conversations and executive discussions.   If you’re passionate about building scalable FinOps practices in a fast-growing, product-led company—and want to directly impact how we run and scale our global platform—we’d love to hear from you.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities: Lead the cloud cost optimization strategy across GCP, AWS, and on-prem infrastructure, ensuring efficiency, transparency, and financial predictability Analyze compute, storage, networking, and Kubernetes resource usage to identify actionable cost-saving opportunities without compromising performance or reliability Build and maintain forecasting models, dashboards, and automated reporting that provide real-time visibility into cost drivers and trends across teams and services Develop and implement tagging/labeling standards, budgeting processes, and governance policies to enable cross-organizational accountability Collaborate closely with Engineering, Finance, and Product to guide workload placement, architecture decisions, and scaling strategies Drive adoption of FinOps best practices including rightsizing, reservation planning, autoscaling optimizations, multi-cloud efficiency, and cost-effective storage strategies Create and refine internal tooling, automation, and pipelines for cost monitoring, anomaly detection, and usage attribution across Kubernetes clusters, virtual machines and physical servers, located both in datacenters and cloud providers Advocate for a cost-aware culture by training engineering teams, running FinOps reviews, and communicating insights to both technical and non-technical stakeholders Stay up to date with the latest cloud pricing models, vendor offerings, and industry trends to continuously evolve Xsolla’s FinOps maturity Qualifications: 5+ years of experience in cloud infrastructure, platform engineering, SRE, or DevOps roles with a strong focus on cost optimization Hands-on experience with GCP (priority) and AWS; strong understanding of cloud pricing models, resource types, and cost management tooling Deep knowledge of Kubernetes resource allocation, autoscaling, workload placement, and cost attribution in distributed environments Proficiency with cloud cost tools (GCP Billing exports, BigQuery, AWS CUR, 3rd party cost monitoring tools (Kubecost, CloudHealth), cost monitoring features in observability tools, custom dashboards, etc.) Strong analytical and data-engineering skills, able to build dashboards, SQL-based pipelines, and forecasting models Experience driving cross-functional initiatives and influencing engineering, product, and finance stakeholders Excellent communication skills with the ability to translate technical concepts into business-focused recommendations Fluent in English (written and verbal) Nice To Have: GCP and/or AWS cloud certifications (on Professional level, preferable) Understanding of FinOps Framework practices or FinOps Certified Practitioner certification Prior experience in gaming, high-growth tech, SaaS, or multi-cloud platform environments Familiarity with chargeback/showback models, internal cost allocation systems, or multi-tenant architectureExperience with Terraform, Helm, or GitOps workflows in cost-related automation Background in data analytics, cloud architecture, or financial modeling The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth Note   This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   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 the FinOps Engineer, 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   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: Tbilisi, Georgia Workplace: remote Novakid is on a mission to build the best online education platform for kids worldwide. We already have over 100,000 students and 4,500 teachers in 15+ countries across Asia, Europe and Latin America, and we want to grow faster. We are looking for a Product Analyst for our Growth squad. The squad owns the product side of the funnel, from the first visit to the first payment. You will spend most of your time as its analyst, working alongside marketing analytics, who own channels and attribution. What you will do: Own the funnel metrics from visit to payment and shape the squad’s roadmap with the PM Run the experiment cycle: decide whether an idea needs a test, size it on historical data, design and read A/B tests in GrowthBook, and use region-level comparisons where a classic A/B does not fit Build and maintain dbt models with tests and code review, and Metabase dashboards on top of them Keep funnel tracking reliable by defining events and data contracts with backend engineers Develop and support our AI analytics assistant: own the Growth domain in its knowledge base, review its answers and fix what it gets wrong Take requests from other teams through the analytics team’s shared intake Our stack: BigQuery, dbt, Metabase, GrowthBook, Bloomreach, Python, git with pull-request review. Claude Code/Cursor are part of daily work. You have 3+ years as a Product Analyst, preferably in B2C or a fast-growing company Excellent SQL and hands-on experience building data marts, ideally in dbt Python for analysis (pandas, numpy, scipy or statsmodels) A/B testing from design to evaluation: power, variance reduction, multiple-testing correction A solid grasp of funnel and unit economics in a subscription business The habit of turning analysis into a decision and explaining it clearly English B1+ for business communication Nice to have Causal inference or uplift modeling Applied ML in a business context Experience building or evaluating LLM-based tools What you get Fully remote work A chance to shape the future of AI-driven education Ownership of the acquisition funnel and its metrics, not a ticket queue Dedicated time for analytics infrastructure, not only squad requests A fun, dynamic team that loves building innovative products Unlimited holidays – because we trust you to deliver Bonuses and stock options – we grow together

Location: ES - Barcelona, Spain; ES - Spain Scopely is looking for an Analytics Engineer, Finance to join our Finance team in Barcelona, Spain , on a hybrid basis, working 3 days a week from our hub. At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. Show us the money! As the Finance team, we’re number crunchers with top-notch analytical and reporting skills. As a shared service, we get to work with all of Scopely's talented studios. In this role, you will help to improve the reliability, accuracy, and maintainability of Finance data workflows by developing and supporting automated pipelines, data transformations, and reporting models. Working closely with stakeholders and the Lead Analytics Engineer in Finance, this role contributes to reducing manual processes, strengthening data quality, and ensuring dependable financial information for monthly close, revenue reporting, and accounting activities. What You Will Do: Partner with Finance stakeholders to understand business requirements, financial processes, and controls, translating them into practical technical solutions with guidance from the Lead Analytics Engineer. Develop, maintain, and troubleshoot data pipelines, SQL transformations, and reporting models supporting monthly close, revenue reporting, and accounting workflows. Investigate missing, delayed, inconsistent, or incorrect financial data, identify root causes, and implement reliable solutions. Help modernize legacy SQL, scheduled workflows, and manual processes into maintainable, documented, and dependency-aware pipelines using dbt. Build and improve automated data-quality checks, reconciliations, monitoring, and alerting to strengthen the reliability of Finance data workflows. Apply Git, code review, testing, and deployment practices to improve the quality and maintainability of Finance data assets. Support the automation of recurring spreadsheet-based processes and manual handoffs, while maintaining technical documentation, dependency maps, runbooks, and recovery procedures. Collaborate with the Lead Analytics Engineer to apply engineering standards and contribute to governed, reusable models within the Looker semantic and reporting layer. What We're Looking For: Strong SQL skills and experience developing and maintaining production data transformations. Experience working with a modern cloud data warehouse such as BigQuery, Snowflake, or Redshift. Experience with data transformation frameworks such as dbt, Dataform, or equivalent technologies. Knowledge of Git, version control, code reviews, and collaborative software development practices. Familiarity with data-quality checks, automated testing, monitoring, or reconciliation processes. Strong debugging and problem-solving skills, including the ability to investigate issues in inherited or imperfectly documented systems. Experience working with Finance, Accounting, Revenue Accounting, month-end close, or audit-related data. Ability to communicate technical concepts clearly to non-technical stakeholders, collaborate with engineering colleagues, and independently progress defined technical problems while seeking guidance when appropriate. Openness to learning and responsibly using AI-supported tools to improve SQL development, documentation, debugging, testing, and workflow efficiency, while maintaining appropriate data security and validation practices. Bonus Points: Familiarity with financial controls, reconciliation, general-ledger concepts, or revenue recognition. Experience in gaming, digital products, app-store revenue, or virtual economies. Experience with data lineage, CI/CD, observability, or data governance practices. Experience working with GCP, Airflow, Cloud Composer, or Looker. Experience modernizing legacy SQL pipelines or stored-procedure-heavy environments. Familiarity with orchestration tools for scheduling, dependency management, monitoring, and recovery. Experience supporting business-critical workflows with defined service-level agreements (SLAs). Working knowledge of Python or another programming language used for automation and data workflows. Experience using or integrating agentic workflows in Finance processes. Please ensure that the résumé/CV you attach is written in English. At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: India Workplace: Remote ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta. As a Consulting Engineer, you're the hands-on engineer on our customers' most important projects. When a customer needs to migrate, integrate, or prove ClickHouse on a real workload, you work in the build alongside their engineers: you design it, build it, test it and hand it over. You'll work on a broad mix of projects for customers across India, from moving large workloads off other databases to building new real-time analytics on ClickHouse. Each one is scoped with clear goals from the start, so you know what success looks like and can get stuck in. It's a fast way to build deep experience across lots of different data problems. The consulting function at ClickHouse is less than a year old, so you'll help shape how ClickHouse delivers this work as the team grows. Between projects you take cases alongside support engineers, which keeps you close to day-to-day support. WHAT YOU'LL DO - Turn customer goals into a scoped project with measurable success criteria, sizing and a timeline - Design a target architecture and prove it against the customer's own data: schema and engine design, capacity and sizing, proofs of concept - Do the build: implementation, pipelines and integrations, migration execution, tooling and automation - Measure it before it matters, with benchmarking, load and functional testing, then support the cutover - Tune what production reveals, then hand over with an engagement report and knowledge transfer, so the customer's team can run it without you - Take L1 to L3 cases alongside support engineers when you're between projects - Feed what you see in the field back to Product and Engineering, and turn your work into reference architectures, knowledge base articles and blog posts - Work in a constant feedback loop with the Pre-sales team to ensure that the demos and POCs they present are credible when you put them into production WHAT YOU'LL BRING - 5+ years delivering hands-on technical work for customers, whether your title was consultant, professional services, solutions architect, senior support, SRE or something else - Real depth in databases, whether analytical, transactional or relational - Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself - You've owned implementations, migrations or POCs for external customers from start to finish - Hands-on cloud experience (AWS, GCP and/or Azure) - You've deployed and run workloads on Kubernetes yourself - You've run distributed systems, such as distributed databases, in production - You give precise technical answers and explain them clearly - Fluent English NICE TO HAVE - Experience with ClickHouse - Migrating analytical workloads from systems such as PostgreSQL, Snowflake, BigQuery or Elastic - Terraform - Data pipelines and streaming, such as Kafka, Kinesis, Spark or Debezium - Python, Bash or Go - Involvement in open source, as a user, contributor or community member GOOD TO KNOW - This role is remote in India - Travel to customer sites is part of the job, up to 35% of your time, depending on the project: some need none, others weekly visits - You'll join our India Support Services team, alongside Support Engineers and TAM Architects - You'll be part of the on-call rotation, about one week a quarter, with time off in lieu if you're paged at a weekend HOW WE HIRE - A 30-minute call with our recruiter - A conversation with the hiring manager - A take-home exercise, designed to take three to four hours, with three working days to complete it - A 90-minute technical interview with the team: you'll walk us through your take-home, then join a working session where you write and tune SQL live - A final conversation with our VP of Support Services - References, then an offer The working session is without AI tools, so make sure you're comfortable writing queries from scratch. Download open-source ClickHouse and practise: it's free, easy to install, and great preparation. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Kuala Lumpur; Baku; Serbia Workplace: remote ABOUT YOU   We are seeking a highly analytical and hands-on Senior FinOps Engineer to lead and mature our cloud and infrastructure financial management capabilities across GCP, AWS, and on-prem environments. As part of our talented infrastructure team, you will drive cost transparency, optimize cloud spend at scale, and partner with engineering, product, and finance teams to ensure that Xsolla’s global infrastructure is efficient, predictable, and aligned with business priorities.   The ideal candidate brings a deep technical understanding of modern cloud platforms (GCP / AWS) and experience working in Kubernetes-centric environments. You excel at turning complex usage patterns into actionable insights, influencing technical teams, and establishing a culture of cost accountability and data-driven decision-making. You balance tactical optimizations with long-term architectural improvements and know how to navigate both engineering conversations and executive discussions.   If you’re passionate about building scalable FinOps practices in a fast-growing, product-led company—and want to directly impact how we run and scale our global platform—we’d love to hear from you.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities: Lead the cloud cost optimization strategy across GCP, AWS, and on-prem infrastructure, ensuring efficiency, transparency, and financial predictability Analyze compute, storage, networking, and Kubernetes resource usage to identify actionable cost-saving opportunities without compromising performance or reliability Build and maintain forecasting models, dashboards, and automated reporting that provide real-time visibility into cost drivers and trends across teams and services Develop and implement tagging/labeling standards, budgeting processes, and governance policies to enable cross-organizational accountability Collaborate closely with Engineering, Finance, and Product to guide workload placement, architecture decisions, and scaling strategies Drive adoption of FinOps best practices including rightsizing, reservation planning, autoscaling optimizations, multi-cloud efficiency, and cost-effective storage strategies Create and refine internal tooling, automation, and pipelines for cost monitoring, anomaly detection, and usage attribution across Kubernetes clusters, virtual machines and physical servers, located both in datacenters and cloud providers Advocate for a cost-aware culture by training engineering teams, running FinOps reviews, and communicating insights to both technical and non-technical stakeholders Stay up to date with the latest cloud pricing models, vendor offerings, and industry trends to continuously evolve Xsolla’s FinOps maturity Qualifications: 5+ years of experience in cloud infrastructure, platform engineering, SRE, or DevOps roles with a strong focus on cost optimization Hands-on experience with GCP (priority) and AWS; strong understanding of cloud pricing models, resource types, and cost management tooling Deep knowledge of Kubernetes resource allocation, autoscaling, workload placement, and cost attribution in distributed environments Proficiency with cloud cost tools (GCP Billing exports, BigQuery, AWS CUR, 3rd party cost monitoring tools (Kubecost, CloudHealth), cost monitoring features in observability tools, custom dashboards, etc.) Strong analytical and data-engineering skills, able to build dashboards, SQL-based pipelines, and forecasting models Experience driving cross-functional initiatives and influencing engineering, product, and finance stakeholders Excellent communication skills with the ability to translate technical concepts into business-focused recommendations Fluent in English (written and verbal) Nice To Have: GCP and/or AWS cloud certifications (on Professional level, preferable) Understanding of FinOps Framework practices or FinOps Certified Practitioner certification Prior experience in gaming, high-growth tech, SaaS, or multi-cloud platform environments Familiarity with chargeback/showback models, internal cost allocation systems, or multi-tenant architectureExperience with Terraform, Helm, or GitOps workflows in cost-related automation Background in data analytics, cloud architecture, or financial modeling The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.   Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.   For any inquiries related to data privacy, please contact: careers@xsolla.com   Explore more opportunities at: https://xsolla.com/careers

Location: Remote - Bulgaria MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're hiring a Senior Analytics AI Platform Engineer with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions. This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB , building automation and tooling in Python , and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question. You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you. Key Responsibilities Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability Communicate results, trade-offs, and recommendations clearly to both technical and business audiences Map and improve business processes through data-driven analysis and process design Requirements & Qualifications 7+ years of professional experience in data science, advanced analytics, or a quantitative field Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow Excellent communication skills - you present complex technical work in a way that drives decisions Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding Relentlessly curious and ambitious - you're always learning, always building, always improving A public GitHub profile showcasing your projects, experiments, or contributions Nice to Have Experience with Next.js or modern frontend frameworks for building data-facing applications FastAPI experience for serving models or internal tooling Background in business process analysis or operational process design Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus Experience with JSON-based data formats, APIs, and integration patterns Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Benefits & Culture Globally distributed team environment Remote or hybrid work options (location-dependent) Challenging projects with company-wide impact Competitive compensation, 25 days paid annual leave, plus holidays A culture that values curiosity, clean engineering, and people who genuinely love what they do Location – Bulgaria (remote) Travel – Flexible for adhoc travel Compensation Salary Range : 34,000 - 38,500 EUR per year (gross) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework. What's in it for you? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. Salaries for candidates outside the U.S. will vary based on local compensation structures. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Remote -- Romania MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're hiring a Senior Analytics AI Platform Engineer with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions. This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB , building automation and tooling in Python , and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question. You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you. Key Responsibilities Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability Communicate results, trade-offs, and recommendations clearly to both technical and business audiences Map and improve business processes through data-driven analysis and process design Requirements & Qualifications 7+ years of professional experience in data science, advanced analytics, or a quantitative field Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow Excellent communication skills - you present complex technical work in a way that drives decisions Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding Relentlessly curious and ambitious - you're always learning, always building, always improving A public GitHub profile showcasing your projects, experiments, or contributions Nice to Have Experience with Next.js or modern frontend frameworks for building data-facing applications FastAPI experience for serving models or internal tooling Background in business process analysis or operational process design Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus Experience with JSON-based data formats, APIs, and integration patterns Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Benefits & Culture Globally distributed team environment Remote or hybrid work options (location-dependent) Challenging projects with company-wide impact Competitive compensation, 25 days paid annual leave, plus holidays A culture that values curiosity, clean engineering, and people who genuinely love what they do Location – Romania (remote) Travel – Flexible for adhoc travel What's in it for you? Compensation Salary Range : 160,000 - 200,000 RON per year (gross) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework. Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Remote - India MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're hiring a Senior Analytics AI Platform Engineer with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions. This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB , building automation and tooling in Python , and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question. You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you. Key Responsibilities Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability Communicate results, trade-offs, and recommendations clearly to both technical and business audiences Map and improve business processes through data-driven analysis and process design Requirements & Qualifications 7+ years of professional experience in data science, advanced analytics, or a quantitative field Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow Excellent communication skills - you present complex technical work in a way that drives decisions Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding Relentlessly curious and ambitious - you're always learning, always building, always improving A public GitHub profile showcasing your projects, experiments, or contributions Nice to Have Experience with Next.js or modern frontend frameworks for building data-facing applications FastAPI experience for serving models or internal tooling Background in business process analysis or operational process design Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus Experience with JSON-based data formats, APIs, and integration patterns Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Benefits & Culture Globally distributed team environment Remote or hybrid work options (location-dependent) Challenging projects with company-wide impact Competitive compensation, 25 days paid annual leave, plus holidays A culture that values curiosity, clean engineering, and people who genuinely love what they do Location – India (remote) Travel – Flexible for adhoc travel What's in it for you? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Remote - United States 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 . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We are hiring Machine Learning Engineers across our Consumer Engineering organization, giving you the opportunity to work on a wide range of high-impact problems across the Consumer ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On We are looking for a Staff Machine Learning Engineer to help drive the next generation of Reddit’s ML ecosystem across recommendations, search, messaging, and foundational AI systems. You will lead high-impact initiatives from ideation to production, shaping both technical strategy and product direction across multiple ML domains. This is a highly cross-functional role partnering with Product, Data Science, and Engineering to deliver meaningful user and business impact. This role sits at the intersection of: Relevance & recommendation systems (content, search, notifications) AI-powered discovery & LLM-driven experiences Content and user understanding & large-scale representation learning Large-scale ML infrastructure and pipelines What You’ll Do Lead end-to-end ML initiatives from ideation through production and iteration, shaping technical direction and translating product goals into scalable solutions Architect, build and deploy large-scale ML systems across recommendation, search, and content/user understanding, including retrieval/ranking models, representation learnings embeddings optimizations, and LLM or GenAI-powered capabilities Drive measurable impact on user engagement, discovery, and long-term value Collaborate with cross-functional teams to align product and technical roadmaps and unlock key future ML capabilities Stay at the forefront of AI research, evaluating and introducing new AI/ML paradigms to keep Reddit’s ML ecosystem at the cutting edge Contribute to the development of best practices, guidelines, and ethical AI principles for responsible LLM development and deployment Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing Set technical vision and drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making Required Qualifications 7+ years of experience building, deploying, and operating machine learning systems in production Deep understanding of machine learning methods, spanning classical approaches and modern deep learning (e.g., Transformers, GNN, etc) Expert at developing and productionizing models using TensorFlow, PyTorch, or Hugging Face Transformers Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python and Golang Experience designing and scaling ML systems, including data pipelines, feature engineering, model training/serving, and production monitoring Excellent communication and collaboration skills, with the ability to discuss complex technical topics with diverse teams and translating product needs into scalable ML solutions Track record of driving measurable impact through applied machine learning in real-world products Preferred Qualifications Subject matter expertise in one of the following domains: Recommender systems Search systems (lexical and semantic retrieval and ranking) Content understanding (NLU/NLP/LLM, topic/taxonomy modeling, interest graphs or clustering, and multimodal understanding) Familiarity with distributed systems and large-scale data processing frameworks (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Experience with LLM/GenAI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Strong experimentation rigor, with experience formulating clear hypotheses, designing actionable learning plans and building offline/online correlations Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Home Experience ML Understanding Feed Relevance Answer Experience Search and Answers Relevance Search Experience Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match 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 Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD 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.