Вакансии

Location: Monterrey, Mexico; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Data Engineer with a strong technical background and a deep understanding of the data lifecycle from acquisition and integration to modeling and exploitation. The ideal candidate combines technical excellence with business understanding, capable of translating strategic requirements into scalable data solutions that enable decision-making and product development based on reliable and timely information. This person acts as a connector between data architecture, analytics, and business needs, helping the organization evolve toward a data-driven culture. The Data & Analytics organization plays a critical role in enabling data-driven decisions across the company, ensuring information flows efficiently from its generation to its consumption. The team designs and maintains scalable data pipelines and models that power analytical use cases, operational systems, and digital products across LATAM. Operating in a Google Cloud Platform (GCP) environment, the team works with tools such as BigQuery, Dataform, Python, APIs, and Terraform, following Agile and DataOps best practices to ensure reliability, scalability, and business impact. Design, develop, and maintain scalable, efficient data pipelines supporting both analytical and operational needs. Understand the current (“as-is”) state of data sources and architectures, identifying gaps, inefficiencies, and improvement opportunities. Define and lead a data integration and completeness roadmap, ensuring availability, quality, and traceability of information across domains. Translate business requirements into clear technical specifications, collaborating closely with multidisciplinary teams (product, analytics, technology, and business). Implement and optimize data solutions using tools from the GCP ecosystem: BigQuery, Dataform, Terraform, Git, Python, and APIs. Ensure adherence to best practices in version control, documentation, and monitoring of data processes. Actively participate in data project prioritization and planning, balancing business impact and technical feasibility. Promote data governance and literacy, encouraging data-informed decision-making across teams. Mentor peers and contribute to the continuous improvement of data engineering standards. Advanced proficiency in SQL and BigQuery. Experience working with Dataform or similar data modeling frameworks (e.g., dbt). Strong knowledge of Python for data processing and API integrations. Hands-on experience with Infrastructure as Code (Terraform) and version control systems (Git). Deep understanding of the data lifecycle and its impact on digital products and business decision-making. Ability to communicate effectively with both technical and non-technical stakeholders. Experience designing data roadmaps or contributing to technology evolution plans. Proven ability to work in Agile environments, participating in sprints and cross-functional collaboration. Fluency in Spanish (team language); intermediate English for documentation and international collaboration.

Задачи: — Построить с нуля инфраструктуру аналитики для нового ИИ-продукта в сфере ментального здоровья и осознанности. — Настроить корректный трекинг и атрибуцию. — Создать востребованные командой дашборды. — Работать с performance-маркетингом. Требования: — Опыт в роли ведущего аналитика веб-продукта с подписочной моделью. — Понимание того, как с нуля обеспечить доверие к данным. В стеке указаны SQL, BigQuery, dbt, GA4, GTM, Tableau и Python. В команде более 10 специалистов по данным.

Responsibilities: — Act as the dedicated analyst on the product, supported by a data team of over 10 people using BigQuery, dbt, and Tableau. Requirements: — At least 3 years of experience in web subscription or e-commerce analytics. — Strong skills in SQL and Python. — Experience setting up tracking from scratch at least once. Benefits: — Not specified.

Location: Worldwide; Serbia; Spain; Poland; Georgia Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for a Product Owner (Customer Experience). In this role, you will own the end-to-end customer journey across our products, from the first visit to meaningful long-term connections. Your mission is to find the biggest growth opportunities in a product used by a million-strong audience, remove whatever stands between users and a great experience, and turn every improvement into measurable business results. Your main tasks will be: Own the customer journey end-to-end, from registration to quality conversations, identifying friction points and growth opportunities across the whole funnel. Dig into data yourself: explore analytics with AI tools (e.g., querying BigQuery via MCP), validate insights, and turn them into strong, evidence-backed hypotheses. Write concise product briefs and drive ideas through specs, prototyping, and release together with developers, analysts, and designers. Build and prioritize the backlog based on the value each initiative brings to users and the business. Connect every initiative to business impact (revenue, net profit) rather than isolated conversion gains. Scale successful experiments across our product portfolio. We expect from you: Experience as a Product Owner, Product Manager, Project Manager, or Team Lead in B2C products; startup experience is welcome. A hands-on approach: you do the analysis, write the briefs, and push ideas through to results yourself. Practical experience using AI tools for product analytics and documentation. Strong command of product metrics and funnel analytics, combined with a solid understanding of unit economics. Track record of owning a business metric (revenue, turnover, net profit), not only conversion rates. Strong prioritization skills and comfort working with a broad scope. Persistence and drive to achieve results in challenging conditions. A technical background (degree in a technical field or previous development experience) is a strong plus. Why join: Real influence on the user experience of a product with a million-strong audience. Freedom to improve anything along the customer journey, from small UX fixes to bold product changes. A role for people who want challenging problems and a fast path to growth. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: Alpharetta, US ABOUT BAD MARKETING: We're a team of 130+ passionate leaders and creatives who have worked diligently to make BAD Marketing one of the largest and most robust Growth Marketing Agencies in the world. At the core of our philosophy is the belief that excellence stems from a united team working toward a common objective: to not only help our clients grow profitably but also to provide them with an experience they can’t find anywhere else. We specialize in local lead generation, e-commerce, and information marketing, catering to clients that span from auto and local shop owners to online consumer product brand owners, online gurus selling courses or coaching, and more. Our approach to success involves more than just B old A nd D isruptive strategies. We invest in our team through extensive training, continuous support for growth and learning, and the cultivation of a happy and confident company culture. For us, finding fulfillment in your career is just as crucial as excelling in it. ABOUT THIS POSITION: We're looking for a Tracking and Attribution Specialist - someone who can own the measurement layer across our info/coaching division and make sure every number our media buyers optimize against and our strategists report to clients is actually true. You'll serve all pods across 20-30 clients, each with a different setup, across mostly paid platform (some email) traffic. We run on Meta, Google/YouTube, and TikTok, and on whatever platform a client needs next. Client reporting runs through our custom dashboards/system, and our clients use a mix of third-party attribution tools (Hyros primarily, but some other similar platforms). You report to the Director of Operations, who owns the overall systems architecture. You own the tracking and attribution domain within it. This is a specialist role within our martech function. You'll work alongside our MarTech team, who also handle tracking work, but tracking and attribution is your specialty and your domain. You're the person the division comes to when something about tracking is unclear, broken, or new. When we launch a client on a paid platform nobody here has used, you're the one who investigates it, learns it, and comes back with how we should set up the tracking. When Meta, Hyros, and Stripe all show different purchase counts, you're the one who can explain why and which number to trust. Tracking breaks quietly. An event stops firing after a page edit, deduplication fails, a UTM gets mistyped on an email. You're not waiting for a media buyer to notice two weeks later - you've built the monitoring that catches it first. And because you're working across 20-30 clients, every setup, fix, and change you make gets documented so anyone on the team can pick it up. WHAT SUCCESS LOOKS LIKE: Media buyers and strategists trust the data because you've verified it - not because they assumed it was right Broken events get caught by your monitoring, not by someone wondering why performance dropped New launches go live with verified tracking, and you keep verifying it after launch as pages, platforms, and integrations change Every client has a current tracking record in their funnel bible - what's installed, how it's configured, what changed, and why - clear enough that someone else could troubleshoot from it UTMs are consistent across paid and organic, so organic traffic is actually attributable When platform and attribution numbers don't line up, you explain the gap in plain language a strategist can repeat to a client When we move onto a new platform, you've already figured out how to track it You fix the same problem once. The second time, it becomes a checklist, a template, or an automated check A DAY IN THIS ROLE: Morning: Review what your automated event health checks flagged overnight across clients - broken events, deduplication issues, Event Match Quality drops, unexpected volume changes. Triage by business impact. Check the ClickUp queue and Slack for anything urgent from media buyers or strategists. Throughout the day: Implement and fix tracking - GTM tags and triggers, Meta CAPI (including the CRM-side setup an integration needs), Google enhanced conversions, GA4, TikTok and YouTube conversion tracking, attribution platform connections Run tracking checks on new launches before they go live, and on live funnels when something changes Work through your audit rotation - take a client's full setup and come back with what's broken, what's at risk, and what to fix first Explain discrepancies to strategists and media buyers, and push back when a requested setup is going to produce bad data Update each client's tracking record as you make changes - not at the end of the week Weekly rhythm: Cross-client event health review, UTM hygiene checks on new campaigns and emails, and a watch on platform tracking changes that could affect our setups. Monthly, you reconcile platform, attribution, and source data for each active client. End of day: You can answer: Did I act on every monitoring exception? Is every change I made today documented? Does anyone need a status update from me? QUALIFICATIONS: 2+ years in a marketing technology, marketing operations, or technical marketing role, with tracking and attribution as your core strength - ideally at an agency or across multiple accounts Deep Meta tracking knowledge - Pixel vs. Conversions API, standard vs. custom events, deduplication, Event Match Quality, Events Manager diagnostics Google Tag Manager - you build and debug containers, data layers, and triggers yourself GA4 and Google Ads conversion tracking, including enhanced conversions Tracking experience on at least one platform beyond Meta and Google (TikTok, YouTube, or similar) Working knowledge of Hyros and at least one other third-party attribution platform (Triple Whale, Northbeam, or similar) UTM strategy, click IDs, and cross-domain tracking - you understand how parameters pass from click to CRM to report Reporting literacy - you understand how tracking data becomes a report and can spec what a report needs Comfortable reading documentation and figuring out unfamiliar platforms independently Clear written communication. You operate in Slack and ClickUp, not meetings, and you need to explain technical issues so non-technical people can act on them Strongly preferred: Experience in direct response, info/coaching, or performance marketing environments SQL and BigQuery familiarity/working knowledge CRM integrations for server-side events (HubSpot, GoHighLevel, or similar) GoHighLevel or ClickFunnels experience YOU'LL THRIVE HERE IF: You want to own a domain/specialty You document by default - you'd rather write it down once than explain it three times You build systems, not one-offs. Solving the same problem twice bothers you You understand how a broken event affects campaign optimization and the numbers clients see, not just the tag itself You're energized by figuring out platforms you've never used You use AI heavily for audits, documentation, debugging, and monitoring; you're open about how, and you know where it gets tracking wrong THIS MAY NOT BE FOR YOU IF: You think this role is mainly CRM implementation, email automation, or workflow building - those are part of martech, but in this role they're the exception, not the job Your tracking experience is mostly installing pixels and tags someone else configured - you haven't set up or debugged Conversions API, GTM, or server-side events yourself You haven't had to reconcile numbers across ad platforms and attribution tools, or you're not interested in why they disagree You'd rather fix things as they're reported than build monitoring that catches them first Documentation feels like extra work You need training or detailed instructions before you can work in an unfamiliar platform You'd rather keep your AI use quiet than show us your workflow Written async communication isn't your strength

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. As the Technical Revenue Accounting Lead, you will lead technical revenue accounting initiatives, including ASC 606 compliance, complex contract reviews, and new product/pricing assessments. This role requires someone who can not only deliver robust technical conclusions but also understand the operational impact on our order-to-cash (OTC) processes. You will collaborate closely with the Revenue Accounting team and cross-functional partners, translating technical policies into scalable solutions that integrate smoothly into our financial systems. This is a full-time, hybrid position based out of our Oakland, CA, Denver, CO, New York, NY, or Philadelphia, PA offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Netsuite and Netsuite ARM, Salesforce, Ironclad, BigQuery and Snowflake What You’ll Do Own technical revenue documentation. Write and review ASC 606 position papers for the most complex revenue arrangements across Fivetran and dbt Labs. Document the relevant facts, accounting guidance, alternatives considered and rationale for each conclusion. Lead technical discussions with external auditors. Lead revenue assessments for new products and commercial programs. Partner with Product, Pricing and Go-to-Market before launch to identify performance obligations, evaluate standalone selling prices (SSP), assess contract modifications and determine when and how revenue should be recognized. Translate conclusions into clear requirements for Billing, Revenue Accounting and Business Systems. Advise on strategic and nonstandard deals before signature. Serve as the senior Revenue Accounting partner to Deal Desk, Sales and Legal. Evaluate proposed terms for complex arrangements, including combined SaaS and on-premises offerings, usage commitments and contracts with multiple performance obligations. Explain how proposed terms affect revenue timing, measurement and presentation. Own and maintain ASC 606 policies. Update revenue policies as products, pricing models and contract structures evolve. Align policies across Fivetran and dbt Labs and provide practical guidance so teams can apply them consistently. Lead the SSP study and allocation methodology. Define how SSP is established, evaluate pricing and transaction data, document key judgments and oversee periodic reassessments. Translate approved conclusions into allocation rules and controls in NetSuite ARM. Determine the accounting for customer and partner programs. Assess contractual credits, including when and how to recognize them, as well as reseller and partner incentives, rebates and marketplace arrangements. Evaluate gross versus net presentation where relevant. Own the contract review framework. Maintain ASC 606 checklists, documentation standards and escalation criteria. Coach revenue accountants on applying the framework and identifying terms that need technical review as deal volume grows. Research emerging revenue issues and recommend a path forward. Evaluate applicable guidance, develop a recommendation and present it to the Controller. Explain the practical implications to business teams so they know what decisions or process changes are needed. Review complex revenue matters at close. Review judgmental revenue journal entries and related flux analysis. Partner with Revenue Accounting and Financial Reporting on footnote disclosures, including contract balances and remaining performance obligations. Drive revenue process and systems improvements. Lead the technical revenue work for the Fivetran and dbt Labs integration. Define requirements, sign off on the accounting design, and own user acceptance testing for NetSuite ARM. Validate that the system applies approved policies and produces the expected accounting results. Skills We’re Looking For At least 10 years of progressive accounting experience, including 5 or more years in public accounting with substantial ASC 606 work for software or SaaS clients. Bachelor’s degree in Accounting, Finance or a related field. Hands-on ASC 606 expertise and a record of independently researching, writing and defending technical accounting positions with auditors. Experience assessing subscription, consumption and software licensing arrangements, including nonstandard terms, new products and pricing changes. Experience developing or evaluating SSP methodologies and applying them to arrangements with multiple performance obligations. Ability to turn accounting conclusions into policies, controls, system requirements and test scenarios. Experience leading technical work across functions and explaining complex accounting to both Finance and business teams. Fluency with AI tools for contract review, technical research or memo drafting, with the ability to verify outputs against source documents and accounting guidance. Bonus Skills​ CPA license or equivalent professional accounting qualification. In-house technical revenue accounting experience at a SaaS or enterprise software company. Experience implementing NetSuite ARM or another revenue subledger or integrating revenue policies and systems after a merger. Experience using SQL or large usage datasets to validate revenue outcomes. Experience in a public accounting firm’s national office or equivalent technical accounting consultation group, particularly on complex ASC 606 matters. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $165,068 — $206,335 USD The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $154,286 — $192,857 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Задачи: построение ML-моделей, корректирующих оценки ETA маршрутизатора (от градиентного бустинга до нейросетей и архитектур на основе Transformer по мере роста данных); модели оценки трафика, превращающие GPS-данные в дорожные скорости и исторические профили трафика;

Задачи: сбор и уточнение требований от маркетинговых аналитиков и BI, их перевод в изменения логики атрибуции, источников и data marts; миграция attribution-пайплайна (dbt-модели, Airflow DAGs, источники) на core DWH-платформу с параллельным прогоном старого и нового контуров и сверкой до переключения;

- Запуск, оптимизация и масштабирование рекламных кампаний; - Контроль KPI и аналитики (GA4, GTM, Looker Studio, BigQuery);

Location: Spain, Remote/Spain Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. ServiceDesk is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure. Key Responsibilities: Own and improve the ticket flow between CRM and Jira: statuses, routing, escalation rules between L1, L2 and engineering teams; Keep ticket classification and SLA targets accurate (issue types, categories, responsible teams) and fix gaps in the data; Find where tickets get stuck, bounce back or breach SLA, and turn findings into process changes or clear tasks for engineering; Work with frontline and engineering teams on intake quality: what a good escalation looks like and how to give feedback; Automate routine steps in CRM procedures and Jira (automation rules, scripts); Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review; Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change; Measure the effect of every change with data, and report it in a clear, short form; Prepare and maintain documentation and playbooks for L1 and L2. What you’ll bring: 2+ years in technical support, support operations or a similar role with tiered support (L1/L2/L3) and SLAs; Solid experience with Jira: workflows, JQL, automation rules, dashboards; Experience with a CRM or helpdesk system (ticket lifecycle, queues, routing); SQL for your own analysis: joins, aggregations, working with large tables; Working with logs and monitoring tools to investigate issues (Datadog, Grafana, Kibana); Hands-on coding in at least one of: TypeScript / JavaScript, Go, Python (Google Apps Script counts for automation); Working with Git, merge requests and code review; Understanding of HTTP, REST APIs and webhooks; Process thinking: you can map a flow, spot the weak step and change it without breaking the rest; Clear writing in English (B2): instructions, task descriptions, short reports; Ownership and autonomy: you drive a change to the end, including agreeing it with other teams. Nice to have: Production experience with Node.js / TypeScript or Go services, and Postgres; Jira administration, Jira Service Management or Assets; Understanding of ITIL processes; Google Cloud and BigQuery; Experience with LLM tools or agents in support: prompts, evaluation, guardrails; Experience at a fintech company and/or a startup. What we offer: Full-time B2B contract Fully remote setup Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a full-time remote opportunity. We are considering candidates from US and Canada only (EST time zone). The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In US, the base compensation range for this role is USD $167,000 - $209,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: ES - Barcelona, Spain Scopely is looking for a Lead Product Analyst to join our new unannounced project in Barcelona, Spain, on a hybrid basis, working 3 days a week from the 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. We are in development stages on an ambitious, unannounced, cross-platform Strategy/MMO title, creating a team of talented and passionate game makers to join us on this exciting journey! What you will do As a Lead Product Analyst, you will partner with a team of Analytical Engineers and product analysts, to support the game team. In this role, partnering with our internal data platform and data science teams, you will use data to generate player behaviour insights and improve feature performance; from data modelling and event tracking, through to AB-testing, insightful analyses and recommendations that answer the game’s most complex and challenging questions. Data Analysis: Dive deep into large, complex data sets to extract actionable insights that drive strategic decision-making. Analyse player behaviour, game performance, and trends to inform product strategies and optimisations. Analytics Roadmap: Collaborate with cross-functional teams to develop comprehensive analytics roadmaps tailored to specific game verticals. Define key metrics, establish data collection processes, and implement analytical frameworks to drive continuous improvement. Ownership of Analysis: Take ownership of end-to-end analytical projects, from data gathering and processing to interpretation and presentation. Drive the execution of analytical initiatives with precision and attention to detail. Cross-functional Collaboration: Work closely with teams across the organisation to translate data insights into impactful business outcomes. Product Roadmap Influence: Partner to shape the future direction of the game. Leverage data-driven insights to prioritise features, optimise game economies, and refine product roadmaps for maximum player engagement and satisfaction. Presentation and Communication: Effectively communicate complex findings and recommendations to stakeholders at all levels of the organisation. Present insights in a clear, concise manner through compelling presentations and reports. What We’re Looking For 7+ years of experience as a Data Analyst or Business Intelligence-related role Gaming industry background Working knowledge of SQL and comfort working in large data sets – exposure to BigQuery and Python/R experience a plus Working knowledge of visualization tools: Looker (Preferred), QlikView, Tableau or PowerBI. Please ensure that the résumé/CV you attach is written in English. 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.

Требования: — Опыт работы не менее 3 лет в роли Data Analyst, Web Analyst или Marketing Analyst на продуктах с web subscription или e-commerce. — Глубокие знания web-аналитики, включая построение воронок, атрибуцию и логику трекинга. — Опыт работы с данными performance-маркетинга. — Навыки построения tracking-инфраструктуры с нуля, включая GA4, GTM и server-side трекинг. О компании: A-Players разрабатывает новый AI-продукт в области ментального здоровья и осознанности. В команде более 10 опытных специалистов по данным, используется инфраструктура BigQuery, dbt, Tableau и GA4. Формат работы: удалённо, полный рабочий день с гибким графиком. География: весь мир.

Location: Санкт-Петербург ИТ B2C - самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Мы, команда офиса CDO B2C, строим платформу данных, которая обеспечивает быстрый, надежный и качественный обмен информацией между Сбером и компаниями-партнерами. Это основа для персонализированных предложений умных продуктов и эффективных бизнес-решений. Наша команда - Команда развития Платформы в офисе CDO B2C ищет DE-инженера для реализации задач по загрузке, аналитике и трансформации данных. Обязанности проектировать и реализовывать ETL/ELT-пайплайны для загрузки и обработки данных (включая DAG в Apache Airflow) оптимизировать и сопровождать процессы обработки больших данных (Apache Spark, Apache Flink) интегрировать источники данных (базы данных, API, файловые хранилища) в единую pipeline-архитектуру настраивать и администрировать Airflow для оркестрации workflows участвовать в разработке архитектуры хранения и обработки данных (включая Hadoop-экосистему) документировать решения и формировать базы знаний. ### Требования наличие высшего образования опыт разработки ETL/ELT-процессов (реализация, оптимизация, мониторинг) профильное владение Python (включая библиотеки для работы с данными) практический опыт с распределенными вычислениями: Apache Spark (PySpark/Scala) или Apache Flink глубокое понимание SQL и опыт работы с РСУБД (PostgreSQL, MySQL и др.) знание Apache Airflow (создание DAG, настройка сенсоров, операторов) навыки администрирования Linux (развертывание, мониторинг, troubleshooting) **Будет преимуществом:** базовые знания Scala (или готовность к изучению) опыт с Hadoop (HDFS, YARN, Hive) знание облачных платформ (AWS S3/Glue, GCP BigQuery, Azure Data Factory) навыки автоматизации (Ansible, Terraform) опыт работы с стриминговыми данными (Kafka, Debezium). Условия гибридный формат ежегодный пересмотр зарплаты и годовая премия расширенный ДМС и льготное страхование для семьи уникальная система обучения Сбера для профессионального и карьерного развития выгодная ипотека для сотрудников подписка Прайм с возможностью совместного использования на трёх близких вознаграждение за рекомендацию друзей в команду Сбера корпоративная пенсионная программа.

Задачи: — Разработка Mobile Attribution SDK с нуля. — Создание real-time tracking и conversion APIs. — Разработка аналитических data pipelines. — Full-stack разработка продукта и интеграция со сторонними сервисами. Требования: — Сильный коммерческий опыт разработки на Python. — Уверенное владение SQL. — Практический опыт разработки JavaScript SDK и iOS SDK. — Опыт создания production-grade продуктов. — Понимание архитектуры ПО, API design и engineering abstractions. — Опыт обработки данных, интеграций и масштабируемых backend-систем. — Самостоятельность в принятии технических и архитектурных решений. — Английский — свободный. Будет плюсом: — React Native, Android SDK, Mobile Attribution / Analytics, GCP, Google Pub/Sub, BigQuery, Airflow, real-time streaming, event-driven architecture, tracking systems, advertising integrations, SaaS. Условия: — Работа до 22:00–23:00 по местному времени. — Локация: Европа. — Только фрилансеры, аустафф и рекрутинговые компании не рассматриваются.

Location: Intellias Meet your recruiter Jeison Arturo Rios Castano jeison.rioscastano@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Java Engineer Principal Colombia Remote APPLY NOW REFER A FRIEND Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by millions of people in the world. What project we have for you Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field. What you will do Design, develop, and maintain scalable Spring Boot-based microservices in a distributed architecture Build and operate event-driven data processing pipelines, including ingestion, transformation, and enrichment of streaming data Work extensively with complex datasets, focusing on data analysis, transformation, validation, and optimization Develop and maintain advanced SQL queries and data workflows to support business and platform requirements Collaborate closely with data engineering, analytics, and business stakeholders to understand and solve complex data challenges Contribute to data warehousing and analytics initiatives, including Snowflake-based solutions where applicable Develop and maintain robust APIs for internal and external consumers Work with AWS cloud services to design and support reliable, scalable backend systems Design, optimize, and maintain PostgreSQL and DynamoDB schemas, ensuring performance and data integrity Implement and maintain automated testing strategies (unit and integration) Contribute to and maintain GitHub Actions pipelines Ensure system reliability through monitoring, logging, and observability best practices Collaborate effectively in a distributed team, communicating progress, risks, and dependencies Take ownership of features end-to-end, from design through deployment and production support What you need for this Mandatory 9+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Java 21, Spring Boot 3.x, and Docker 5+ years of hands-on experience with AWS core services and cloud-native application development. 4+ years of experience designing and operating event-driven distributed systems using technologies such as Kafka, AWS Kinesis, or equivalent messaging platforms. Strong experience with microservices, MVC, and event-driven architectures Strong experience with JPA / Hibernate Strong database design skills with PostgreSQL (advanced SQL) and DynamoDB, including schema design, optimization, and performance tuning Solid test automation experience using JUnit and Cucumber Hands-on experience with GitHub Actions and/or similar CI/CD tools Strong ownership and self-management in a fast-paced Agile environment, with the ability to independently deliver end-to-end solutions, resolve blockers, and communicate effectively in English Ability to provide full overlap with US Central Time (CT) on business days On-call support: Willingness to provide off-hours or weekend production support when required Nice to Have Advanced SQL expertise, including designing, writing, optimizing, and troubleshooting complex analytical queries against large and complex datasets. Experience processing, enriching, or analyzing event and telemetry data at scale. Experience with AWS CloudFormation. Experience with jOOQ and Flyway. Experience with BigQuery or Databricks. Experience with Spring Cloud. Experience working with geospatial data (PostGIS). Experience supporting large-scale data platforms, reporting systems, or business analytics products. Experience working with distributed data processing or data pipeline technologies. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills AWS ETL Java RESTful SpringBoot

Location: Remote, Arizona, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a talented Senior Sales Engineer to join our Enterprise, Existing Business sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana Linux, Windows, Python What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication and data transformation requirements Work cross functionally with your internal counterparts (AEs, Professional Services, BDRs, marketing, and support) to build and maintain a holistic account ownership plan Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running a tight proof-of-value process Work closely with Fivetran+dbt’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs Develop and maintain relationships with key Enterprise customers and partners Stay up-to-date on the latest technologies and trends in our industry Skills We’re Looking For 5+ years in one of the following areas: data replication, data practitioner, data operations, analytics, sales engineering, or related technical field Proven ability to work cross-functionally to support large enterprise customers Strong technical background covering data replication, cloud infrastructure, data replication technologies, and/or database administration Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Bonus Skills Experience with Oracle, SQL Server & SAP databases Basic python competency and advanced SQL knowledge Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings. As part of our commitment to setting new hires up for success, all new sales team members attend a one-week, in-person Revenue Bootcamp during their second week at Fivetran. This bootcamp, held at one of our designated company locations, requires travel and is a mandatory part of the onboarding process. OTE (On Target Earning) $197,516.46 — $273,115.47 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Sweden, the Base compensation range for this role is SEK 814,000 - SEK 1,017,000 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .