Вакансии

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: USA About the Team Cloudflare is changing how it grows and how it measures growth and Revenue and Consumption is becoming a core Go-To-Market (GTM) metric that shapes our GTM motions. The Consumption Transformation Team is the design engine for that change. Working closely with GTM leaders and the Developer leadership team, we help define the metric, draft and enforce the Rules of Engagement (ROE) for Consumption, build the analytics and field reporting, and support enablement, landing, and continuous improvement. We are a partnering team and aim to work cross functionally to support our internal functions successfully in a consumption business. This is a new team, so you will be building the way we work, and we expect successful candidates to use AI every day to take on more than a team this size normally could. About the Role You will turn the Consumption strategy into working models, trusted data, and clear answers for the field. You will design, build, and land the targeting models, build scorecards with our cross-functional partners and Data and Analytics Leader, give Geo Ops analytics they need to run their business, and be the first stop when our field teams seek clarity on our data, reporting, and use this to improve our models. What you'll do Design, model, and land targets: Build and evolve our target setting model, and own the methodology. Back-test them, land them with GTM leaders, and keep improving them. Execute the strategy: Take direction from the Strategy Lead and turn it into working methods and recommendations, and flag early when the data says the plan should change. Build scorecards: Work with our DIA and GTM Analytics teams to build and maintain scorecards with cross-functional partners covering field performance, data quality, and disputes. Protect data integrity: Validate actuals, baselines, targets, revenue attribution, and account ownership against source systems such as BigQuery, and tie GTM Revenue back to Finance and Billing. Support the field and apply the Rules of Engagement: Answer field questions and cases on baselines, quotas, crediting, and ownership, applying the Rules of Engagement consistently and keeping a record of each decision. Spot where a rule needs to change, and provide the account hierarchy and ownership data teams need to collaborate across geos on our most critical customers. Support territory planning and partner across teams: Provide analytics to Geo Ops and central territory design so they can deliver successful territory and coverage plans with equitable distribution of opportunity and targets. Work with Finance, Billing, data engineering, IT, RevOps, and Compensation to define data needs and move manual spreadsheet work into governed data products. Use AI to scale the work: Use AI tools, to write and review SQL, speed up reconciliations, draft answers to common field questions, and automate recurring checks. Review every result for accuracy and follow Cloudflare policy on confidential data. Examples of desirable skills, knowledge and experience Experience: 5 or more years in sales operations, revenue operations, business analytics, target setting or territory modelling, or data operations, ideally in a usage-based or billing-driven business Modelling: You can build and back-test a quota or forecast model and explain its assumptions SQL and data: Strong SQL on large datasets (BigQuery or similar), reconciling against CRM and billing data Reporting: You have built scorecards or dashboards that other teams rely on Controls and policy mindset: You understand why accuracy, documentation, and an audit trail matter when numbers drive pay, and you can apply a written policy such as the Rules of Engagement consistently to real cases Communication: You explain technical answers clearly and calmly to sellers and managers, and work well with Geo Ops, Finance, Billing, data engineering, and IT AI fluency: You already use AI assistants and agents in your daily work for analysis, coding, and documentation, check their output against the data, and can show examples of work you made faster or better with AI Bonus points Salesforce: Experience with reports, SQL, account hierarchies, and ownership rules Building with AI: Experience building your own automations, agents, or prompts that handle routine analysis, reporting, or support questions Compensation Compensation may be adjusted depending on work location. For SF, SJ, and Bay Area Metro based hires: Estimated annual salary of $138,000 - $190,000. For Boston, California - Remote, Connecticut - Remote, DC Metro, Massachusetts - Remote, New Jersey - Remote, New York City, NY Metro, Remote - Washington, Washington (Kirkland), and Washington D.C. based hires: Estimated annual salary of $132,000 - $182,000. For Colorado - Remote, Illinois - Remote, Maryland - Remote, Minnesota - Remote, Nevada - Remote, New York - Remote, Rhode Island - Remote, and Vermont - Remote based hires: Estimated annual base salary of $120,000 - $165,000. CO ONLY Application Deadline: January, 17 2027 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Belgrade; Lisbon Workplace: OnSite Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We’re looking for a Founding ML Engineer at Senior or Principal level to lead the transition of Newton, Aghanim’s AI product for partners, from proprietary model APIs to models we control. Newton already runs in production on frontier models. You’ll own the model layer end to end: data collection, evaluation, post-training, serving, and rollout. The goal is to preserve the quality partners rely on while reducing cost, improving speed, and keeping partner data within our infrastructure. You’ll work closely with the product to understand its behavior and partner expectations, then independently define the technical approach and priorities. Decisions about training, routing, and model replacement should be backed by production data and evaluations. KEY RESPONSIBILITIES - Build production data pipelines that capture versioned instructions, tool calls, outputs, costs, and outcomes, with anonymization, partner-level deletion, and expert corrections. - Develop benchmarks, regression tests, and code-based and LLM-judge evaluators using real Newton runs to measure factual accuracy, tool use, answer quality, cost, and latency. - Compare frontier and open-weight models, route tasks to suitable models, and identify where prompting, distillation, or post-training delivers the best results. - Train and adapt models using distillation, SFT, LoRA/QLoRA, and DPO on accepted trajectories and expert feedback; use RL where simpler approaches fall short. - Deploy models behind Newton’s existing interface, validate them through shadow runs, and manage rollout based on quality benchmarks and serving economics. Tech stack: Python, TypeScript, SQL, self-hosted Langfuse, TRL / Unsloth / Axolotl or managed training platforms, vLLM, serverless GPUs, GCP / Modal; open-weight models including Qwen, Gemma, DeepSeek, and GLM. REQUIRED QUALIFICATIONS - Hands-on experience post-training LLMs and shipping them to production using SFT, LoRA/QLoRA, DPO, and distillation. - Experience building evaluation systems from production data, including offline benchmarks, regression and behavior tests, and code-based and LLM-judge evaluators. - Understanding of agentic systems, including tool calling, multi-step trajectories, structured outputs, and the impact of changing the underlying model. - Practical experience serving models with vLLM or similar tools, quantization, and GPU deployment, including latency, cold-start, and cost tradeoffs. - Strong production Python and SQL skills, with enough TypeScript proficiency to modify product code and instrumentation independently. - Ability to understand product behavior and user expectations, translate them into measurable quality requirements, and decide when training is justified. - Experience independently owning a technical area, setting priorities, and working across an unfamiliar codebase and its design documents. - Regular use of AI coding agents, with a clear approach to verifying their output. PREFERRED QUALIFICATIONS - Experience migrating a production product from proprietary model APIs to self-hosted or open-weight models. - Experience with RL for LLMs, particularly GRPO with automatic verifiers. - Familiarity with Langfuse, Braintrust, or similar tracing and evaluation tools. - Experience with GCP, including Vertex AI, Cloud Run GPU, and BigQuery. - Interest in game monetization and analytics. WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Build detection that fires early . A rule that catches 88% of the money on day 11 is worth far less than one that catches 60% at checkout, and you should be able to say why in dollars.

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. We are currently looking for a Data Analyst for Spinlab. Spinlab helps slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. They collect and process data using advanced methods and technologies to provide their clients with clear, actionable recommendations based on real metrics. SpinLab's goal is not just to collect data but to transform it into meaningful business insights that improve efficiency and help products grow. Responsibilities: - Analyze large volumes of game and player data to identify patterns, trends, and dynamics, and turn them into clear business conclusions. - Translate findings into practical recommendations for product improvements, highlighting what works, what doesn’t, and what opportunities to explore - Perform deep-dive investigations into performance anomalies or game features to explain what happened and why - Collaborate closely with Data Scientists, Data Engineers, and Product Managers to shape hypotheses, validate them with data, and contribute hands-on to data science development tasks. - Develop robust statistical and causal inference analyses to identify drivers of user behavior. - Contribute to the development and validation of predictive models, including feature engineering, dataset preparation, model evaluation, and A/B testing, in collaboration with Data Scientists. - Communicate complex insights in a simple, compelling way to both technical and non-technical audiences. - Help define metrics for new products or features, expanding high-level requirements with your analytical thinking and product insights. - Build dashboards and reports to help stakeholders monitor key KPIs and make data-driven decisions Requirements: - Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. - 5+ years of experience as a Data Analyst or Data Scientist, preferably in the gaming or tech industry. - Strong analytical and problem-solving mindset; ability to find the story in the data: uncovering trends and explaining them in clear business terms. - Experience working with large datasets and distributed computing tools (BigQuery, Spark, Hive, or similar). - Strong hands-on experience with SQL for complex queries and data wrangling. - Solid data visualization skills (Tableau/Power BI) and advanced Python, with practical experience using common data science libraries (e.g., pandas, scikit-learn). - Strong experience of experimental design and statistical testing (A/B testing, hypothesis testing, confidence intervals). - Working knowledge of machine learning fundamentals (supervised learning, feature engineering, training/validation, evaluation metrics) and familiarity with causal inference and uplift modeling. - Hands-on experience contributing to ML workflows or model development, with the ability to implement and test well-scoped tasks alongside Data Scientists. - Practical experience using AI coding assistants or other AI tools in day-to-day work, with a focus on automation, efficiency, and output quality. - English B2+ Will be a plus: - Knowledge of the iGaming industry or understanding of slot game mechanics - Ability to look at games from players' point of view - Product mindset: the ability to go beyond numbers and propose actionable solutions that make an impact. Benefits: - 25 working days of vacation. - 15 sick leaves. - 1 paid day off for celebrating your birthday. - Paid Ukrainian National Holidays. - Medical insurance is provided after completing the probation period (3 months from the start date). - Budget for education. - Paid for individual English classes. - Technical equipment that meets the working needs. 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: Paris, Remote Workplace: remote The Data team builds and evolves the data platform that powers critical product features and helps every team make smarter, faster decisions. Our data ecosystem supports hundreds of pipelines, dashboards, and tools, providing the foundation for both day-to-day operations and strategic decision-making. What makes our team unique is our central role across the company: we sit at the intersection of Product, Operations, Customer Success, Sales, and Engineering. As our first Analytics Engineer, you’ll bridge the gap between our data platform and business teams by building trusted datasets, meaningful KPIs, and self-service analytics capabilities. You’ll work closely with our Senior Data Analyst and Data Engineers to improve data models and documentation, strengthen the reliability and efficiency of our warehouse, and help teams become increasingly autonomous with Snowflake, Looker/Metabase, and AI-powered analytics. You’ll then contribute to our broader mission of making data more accessible and actionable across 360Learning. Within 1 month, you will: Discover 360Learning, its platform, teams, and culture Get familiar with our data stack (Snowflake, Looker, dbt, etc.) and our ways of working Understand our data models, ways of working, and self-service analytics strategy Within 3 months, you will: Build reliable, well-documented datasets and KPIs that help teams answer their own business questions Enable teams to access and leverage data through Snowflake MCP, empowering them to answer business questions more independently Collaborate with our Senior Data Analyst to improve documentation, data models, and best practices to strengthen self-service adoption Within 6 months, you will: Partner with Data Engineering to improve warehouse performance, reliability, and cost efficiency Help teams become more autonomous on Snowflake and BI tools by guiding them toward the right datasets and sources of truth Become a go-to partner for teams looking to monitor key metrics, explore data, and make data-driven decisions The Skill Set: Strong SQL skills with the ability to write complex queries and work confidently with data. Hands-on experience with BI and analytics tools, such as Looker, Metabase, or Omni. Experience with modern data warehouses, such as BigQuery, Redshift, or Snowflake. Good working knowledge of Git and version control best practices. Experience with dbt is a strong advantage. Strong interest in AI and emerging analytics tools, with a focus on their practical application to business and data-related challenges. Solid understanding of data modeling and data warehousing principles, with an interest in building reliable, scalable, and efficient data solutions. Curiosity and problem-solving mindset: able to break down ambiguous questions into clear, actionable steps Comfortable collaborating with non-technical stakeholders, understanding their needs, and communicating technical concepts in a simple way. Fluent English (US/UK) / French fluent Enthusiasm for our working environment explained here: https://bit.ly/Convexity_360L What We Offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Senior Data Manager Case study Meeting with our Senior Data Manager and our Senior Data Analyst Clarification Meeting with our 1 Data Engineer and our Senior Data Analyst Culture Fit Meeting with our VP Engineering Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, Texas About the role The Demand Planning team sits at the intersection of traffic forecasting, infrastructure strategy, and operational execution. We predict when, where, and how many servers to deploy across Cloudflare's global edge so that customers' traffic stays in-region and they never have to think about infrastructure. This is not a reporting role — it is a planning and engineering role that requires you to build the models, own the data, and translate forecasts into real deployment decisions. As a Capacity Engineer, you will own one or more planning regions end-to-end with light supervision. That means maintaining the models, catching problems before they become incidents, working directly with hardware sourcing and infrastructure teams, and contributing to the data pipelines that feed your planning work. You will be the point of contact for your region — not someone who supports a more senior planner, but someone who runs the work. This is a role for someone with 3-5 years of experience who is ready to operate with real ownership and is actively growing toward full autonomy. You will work alongside senior peers who set team-wide standards, and you will be expected to contribute to cross-regional consistency — not just execute within your own lane. You will also work fluently with AI tooling, including OpenCode AI and MAS agent workflows, as a normal part of how planning gets done on this team. Why Cloudflare/ Why This Team Cloudflare's network spans hundreds of cities and carries a meaningful fraction of global internet traffic — the planning decisions this team makes have direct consequences at that scale. The Demand Planning team is in an active transition from manual planning toward intelligent, automated, AI-augmented capacity systems, and this role puts you at the center of that shift. You will work on problems that are genuinely hard, with teammates who take the craft seriously, in a team small enough that your work is visible and your contributions matter from day one. What you'll do - Own one or more edge planning regions end-to-end, producing deployment recommendations with minimal supervision - Maintain and continuously improve regional planning models, incorporating new traffic patterns, hardware generations, and infrastructure changes - Build and maintain data pipelines that feed regional planning — using BigQuery, Python, and Jupyter notebooks to query, explore, and validate planning data - Work directly with hardware sourcing, DCS, and infrastructure teams to translate forecasts into actionable deployment plans - Proactively identify capacity risks in your region and surface them before they require escalation - Use OpenCode AI and MAS agent tooling as a standard part of your daily planning workflow - Contribute to cross-regional consistency efforts alongside peers — shared methodology, shared standards - Participate in planning reviews and communicate forecast outputs clearly to non-technical stakeholders Desirable Skills, Knowledge, and Experience: - 3-5 years in an analytical, planning, or technical infrastructure role - Working SQL proficiency — comfortable querying and joining datasets in BigQuery to answer planning questions - Python proficiency — data analysis, scripting, and automation of planning workflows; comfortable working in Jupyter notebooks as a day-to-day analysis environment - Comfort working with large infrastructure datasets and translating them into decisions - Clear written and verbal communication — you can explain a capacity recommendation to a finance partner or a network engineer without losing either of them - Demonstrated ability to own a workstream end-to-end with light supervision What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

-Развивать личный кабинет посетителя и ключевые этапы воронки — от первого контакта на лендинге до забронированного урока. -Отвечать за атрибуцию: выстраивать сквозные цепочки визитов, работать с UTM-метками и локализовать разрывы в трекинге конверсий (V2L / V2B).

Location: Almaty, Kazakhstan; Astana, Kazakhstan; Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Odesa, Ukraine; Remote.BG, Bulgaria; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We are looking for a Senior Data Analyst with strong product analytics experience to design, execute, and analyze complex experiments that support product and business decisions. You will work independently on analytical tasks and collaborate with team leads and product stakeholders to deliver clear, actionable insights. You will work on a learning platform that helps educators access high quality teaching and learning materials. The project is centered on product analytics, experimentation, and data driven insights that improve product performance and business outcomes. Design complex experiments and A B tests to validate hypotheses and measure business impact Define success metrics and apply statistical methods to ensure reliable results Analyze user behavior, conversion funnels, engagement, and retention Translate analytical findings into actionable recommendations for product improvement Identify opportunities to improve product performance Own analytical tasks end to end in collaboration with team leads and product stakeholders Present findings and recommendations to support data driven decision making 5+ years of experience in Data Analytics including strong hands on experience in Product Analytics Strong experience in product analytics and complex experimentation including A B testing Advanced SQL skills and solid knowledge of statistical analysis Hands-on experience with Tableau and BigQuery. Experience analyzing user behavior, conversion funnels, and product performance metrics Ability to translate complex data into clear business insights Ability to work independently Good communication and stakeholder management skills Experience in eCommerce, subscription based businesses, or digital product analytics Experience with Databricks

Location: Israel 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 TAM Architect, you're the named technical lead for a small group of our largest customers. You carry the context of how they run ClickHouse, guide them from their first design decisions through production and growth, and make sure the rest of ClickHouse shows up for them when it matters. Your job is to keep them healthy, help them get more out of ClickHouse, and spot the next use case. You'll work inside our Support organisation and own escalations for your accounts, working closely with our support engineers. The role is based in Israel, close to some of our biggest customers in EMEA. Large enterprises are moving onto ClickHouse fast, and we're building out how we look after them. People joining now have a real say in how this role works. WHAT YOU'LL DO - Run a regular cadence with 4 to 8 strategic accounts (weekly, fortnightly or monthly, depending on the project), plus quarterly health checks and business reviews, on site where it helps - Lead onboarding, where the decisions that are hardest to reverse get made: schema and data modelling, table engines, ingestion, migration and query design - Once customers are live, keep performance and cost on track as they grow, and help them onto new use cases - Work closely with Support: own escalations for your accounts, with regular case reviews and a direct line into L3 engineering - Work with the right people for each piece of work: partner with Solutions Architects on new use cases and proof of concepts, and bring in Consulting Engineers for hands-on projects - Write it down: documented setup and configuration, knowledge base articles and reference architectures that help other customers too WHAT YOU'LL BRING - 5+ years in a hands-on, customer-facing technical role after the sale, whether your title was TAM, solutions architect, professional services, senior support or something else - Specialist depth in data modelling, query performance and integration on distributed or analytical databases - Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself - Experience owning a small book of high-touch enterprise accounts, where you know each customer's architecture in depth - Hands-on cloud experience (AWS, GCP and/or Azure) - You've run distributed systems, such as distributed databases, in production - You explain technical trade-offs clearly, to engineers and to executives - Fluent English and Hebrew NICE TO HAVE - Experience with ClickHouse, or with other analytical databases such as Snowflake, BigQuery, Redshift or Druid - Involvement in open source, as a user, contributor or community member - A working knowledge of Kubernetes GOOD TO KNOW - You'll be based in Israel. Travel to customer sites is part of the job, up to 35% of your time, within Israel and throughout EMEA - You'll join our EMEA Support Services team, where Support Engineers, Consulting Engineers and TAM Architects work as one team - You'll be part of the on-call rota, 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 four to five 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.

КТО НАМ НУЖЕН: Ищем Marketing Data Analyst / BI Analyst, который поможет построить единую систему аналитики маркетинга и продаж в международном e-commerce бизнесе. Нам нужен специалист, который сочетает сильный SQL, BI и data modeling с пониманием performance marketing, e-commerce и marketplace economics.

Location: United Kingdom; Spain Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote, anywhere in Spain or the UK. Contract: Spain: Full-time, permanent contrato indefinido via Deel (our employer of record in Spain) UK: Full-time, permanent Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async. Curious what it's actually like to work at Airalo? We've put together a guide for each of the hubs we hire from most, covering our benefits, remote culture, employment setup, and what our team values most: Life at Airalo · España: https://airalo-public.notion.site/life-at-airalo-espana Life at Airalo · United Kingdom: https://airalo-public.notion.site/life-at-airalo-united-kingdom We’re looking for a Senior Analytics Engineer to help shape how data is modeled and governed at Airalo, transforming first- and third-party data into clean, trusted, well-documented datasets that power decisions across product, marketing, finance, and commercial teams, serving 30+ million users and growing. This role carries particular weight in our finance and revenue domain: you’ll steward the models finance relies on directly, including order-to-revenue flows and reconciliation against third-party systems such as our ERP, where precision and auditability matter as much as scalability. Our analytics engineering function is still maturing, so you’ll have real ownership in establishing standards, defining our semantic layer, and shaping how data is structured as we scale globally, working closely with the rest of the data team to build a production-grade analytics platform on LightDash and beyond. What You'll Do: Design, implement, and maintain data models using dbt within our cloud data warehouse, ensuring performance, cost efficiency, and alignment with business logic Build and maintain finance and revenue data models, including order-to-revenue flows, recognition logic, and reconciliation against source-of-truth financial systems, that finance and commercial teams can rely on for reporting and forecasting Own the order-to-revenue pipeline: ensuring every order correctly and traceably resolves into recognized revenue, with clear handling of refunds, adjustments, currency conversion, and edge cases Collaborate with other analytics engineers and data engineers to build and scale ELT workflows that ensure data freshness and reliability for mission-critical reporting Partner with Finance and the ERP systems integrator to validate that data models and definitions carry over correctly from legacy systems into the new ERP/EPM platform Implement robust testing, documentation, and monitoring practices, acting as a steward of data quality and governance across the platform, with particularly high attention to detail in domains where small errors compound (e.g., revenue, finance) Collaborate cross-functionally  to translate complex business questions into scalable, production-ready data artifacts Partner with the data analysts and domain leadership to drive the rollout and adoption of self-service analytics, ensuring business users can trust and independently explore the data models you build Contribute to the evolution of our modern data stack, bringing curiosity and pragmatic judgment to new tools and approaches Must Haves: Bachelor's/Master's degree in a quantitative field (statistics, economics, mathematics, computer science, or equivalent work experience) Hands-on experience building finance and/or revenue data models, ideally including order-to-revenue or billing-to-revenue pipelines, revenue recognition logic, or financial reconciliation (ERP, billing platforms or similar) 5+ years in analytics engineering, data engineering, or analytics roles with significant modeling responsibilities Strong SQL and data modeling skills, with demonstrated experience designing robust, scalable dimensional models Exceptional attention to detail, especially when working with numbers that feed financial reporting, reconciliation, or external disclosure Significant hands-on experience with dbt (Core or Cloud) for managing transformation logic, testing, and documentation Familiarity with cloud data platforms (BigQuery) and data orchestration tools (Airflow, Dagster, or similar) Experience working with modern BI platforms and semantic layers-LightDash experience is a strong plus Track record of partnering with analysts and business stakeholders to translate requirements into well-structured data products Strong communication skills, with the ability to explain complex data concepts to diverse audiences Proactive self-starter who thrives on solving ambiguous problems and takes ownership from concept to production Nice to Have: Experience in marketplace, telecom, or travel/mobility businesses Background in B2C product companies with high-volume event data Experience building analytics engineering capabilities in low-maturity data environments Previous experience at a scale-up that went through hypergrowth Experience defining and governing company-wide KPIs and metric frameworks Experience working alongside or within a finance function (e.g., supporting FP&A, revenue accounting, or audit processes) on data accuracy and traceability Why People Join Us 🇪🇸 Why people join us in Spain We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team is united by a shared belief that great work happens when people are trusted to own what they do. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact. For many of our teammates in Spain, it's the combination of stability, flexibility, and genuine work-life balance that makes Airalo feel like home. 🇬🇧 Why people join us in the UK We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product first discovered us as customers. Our team spans 60+ countries, but what people often notice quickly is how work actually feels here. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, people tend to stay for a mix of things: the chance to work on a product used globally, the autonomy to shape how they work, and the opportunity to keep taking on new challenges without getting stuck in one lane. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it's available: 📍 UK: £74,800 – £112,200 📍 Spain: €77,600 – €116,400 📍 Germany: €76,000 - €114,000 Your Home Destination: 🛫 Local market rates and cost of living vary, so your specific range depends on where you’re based. Most people join in the first half of the band, which leaves you plenty of room to grow, and you’ll see exactly how that looks from day one. In exceptional cases, where a candidate’s skills and experience clearly exceed what the role requires, we’re happy to talk about going higher. We’ll walk through your range together on your first call with our Talent team, so we’re all aligned for takeoff! 🎒✨

– Опыт аналитики мобильных игр от 4 лет, сильная экспертиза в продуктовых и F2P-метриках (Retention, LTV, ARPU/ARPDAU, ROAS). – Уверенный SQL, Python, опыт A/B-тестирования и работы с BI.

Задачи: — Владение стратегией продукта, дорожной картой и выполнением интеграций ClickHouse с облачными стратегическими партнерами. — Поиск возможностей для совместных инноваций с партнерами. — Определение и реализация интеграций "лучше вместе" с каждым стратегическим партнером от совместной дорожной карты до запуска. — Управление компромиссами встраиваемых интеграций: биллинг и учёт, идентификация и аутентификация, безопасность и локализация данных, координация между командами ClickHouse и партнёров. — Проектное управление сложными многоорганизационными запусками: листинги на маркетплейсах, процессы сертификации, совместный маркетинг с партнерами, сроки общего доступа. — Владение техническими стандартами и критериями сертификации интеграций в рамках программы House Mates. — Измерение и коммуникация бизнес-эффекта совместных инноваций, принятия продукта и стратегии руководству. — Представление ClickHouse на внешних мероприятиях и в совместном контенте. Требования: — Опыт выпуска интеграций в сторонние платформы: маркетплейсы гипермасштабируемых облаков, встроенные или нативные интеграции, партнерства ISV или OEM/white-label. — Понимание компромиссов, влияющих на интеграции (биллинг, аутентификация, безопасность, межкомандные зависимости) и опыт принятия таких решений. — Сильные навыки управления проектами и опыт запуска, зависящего от нескольких команд и компаний. — Терпение и настойчивость в работе с партнерами с разными приоритетами, умение находить креативные решения для продвижения. — Техническая компетентность для понимания интеграции от начала до конца, включая provisioning, аутентификацию, биллинг и поток данных, способность вести технические разговоры с инженерами. — Энергия и интерес к внешней работе: звонки с партнерами, общение с клиентами, публичное представление продукта. — Практический, ответственный подход: написание спецификаций, проведение звонков с партнерами, внимание к деталям. — Комфорт в условиях неопределенности и быстроменяющейся среды. Преимущества: — Опыт создания интеграций с гипермасштабируемыми облаками и современными технологическими компаниями. — Опыт управления или поддержки программы технологических партнеров. — Опыт работы в компаниях баз данных или инфраструктуры данных. — Знакомство с ClickHouse или аналогами (Snowflake, BigQuery, Databricks). — Опыт работы в удаленных, мультивременных зонах. Условия: — Гибкая рабочая среда, удалённая работа. — Взносы работодателя на медицинское страхование. — Опционы на акции компании для новых сотрудников. — Гибкий отпуск в США, щедрые условия в других странах. — Помощь в организации домашнего офиса (500 USD). — Возможности участия в глобальных встречах и оффсайтах.

Location: Canada (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 position. We are seeking candidates in US and Canada. The Opportunity Application Core Services (AppCore) is a group within Platform, in the Foundations department. We build and operate systems that support Grafana’s business operations and customer experience, working closely with product teams and internal business partners. The Usage squad works on billing, rates, usage calculations, usage visibility and cloud marketplace integrations. Our software helps customers understand their consumption and costs, and helps internal teams operate accurate, reliable billing processes. We are looking for a Staff Fullstack Engineer with strong backend experience who enjoys making complex business systems reliable, understandable and easier to operate. You will help deliver new capabilities while improving existing services, reducing repetitive manual work and addressing edge cases that affect customers and internal stakeholders. This is a hands-on Staff engineering role within the AppCore Usage squad. You will lead complex technical work, contribute directly to implementation and share ownership with the squad’s other Staff and Senior engineers. Your primary focus will be Usage’s systems and outcomes, collaborating with adjacent teams when the work requires it. Our ownership includes application code, data stores, deployment configuration and the cloud infrastructure supporting our services. You should be comfortable following a problem across those boundaries and making improvements with the appropriate platform teams. We are remote-first and global. For this role, we prefer candidates in NASA’s Eastern Time zone to provide more overlap with our EMEA colleagues. What You’ll Be Doing Your initial focus will be approximately 75% backend and 25% frontend. This balance will evolve with the squad’s priorities. You should be comfortable delivering across the stack, from business logic and APIs through to the interfaces customers and internal teams use. Design, build and operate backend services and APIs supporting billing, rates, usage calculations, usage visibility and marketplace workflows. Build and maintain backend services primarily in Go, with Node.js also present in our stack, and contribute to TypeScript/React applications to deliver complete features. Improve the correctness and reliability of billing and usage workflows, including validation, reconciliation, error handling and recovery. Identify recurring manual tasks and replace them with maintainable automation, clear operational workflows and appropriate controls. Maintain and evolve the infrastructure supporting our services, including Kubernetes workloads, scheduled jobs, cloud resources and deployment configuration. Use infrastructure as code and automated delivery pipelines to make changes repeatable, reviewable and safe across environments. Investigate production issues across application code, databases and infrastructure, including resource exhaustion, failed jobs, slow queries and replication delays. Plan and execute service deployments, database changes and infrastructure migrations, including validation, monitoring and recovery plans. Build and maintain integrations with cloud marketplaces and external business systems where required by the squad’s work. Deliver projects from understanding requirements and proposing an approach through implementation, testing, rollout and production support. Make changes traceable and testable, supporting audit requirements and clear explanations of system behaviour. Collaborate with product management, Support, DealOps, GTM, infrastructure teams and adjacent AppCore squads to clarify requirements and resolve dependencies. Share technical leadership through design discussions, code reviews, mentoring and practical improvements. Participate in the squad’s on-call rotation after onboarding. Improve dashboards, alert quality, runbooks and recovery procedures, and follow through on incident findings. What Makes You a Great Fit You enjoy engineering work where correctness, reliability and business impact matter. You find value in improving an established system, removing a recurring operational problem or making a billing workflow easier to understand and support. You take ownership from understanding the problem through delivery and production support. You can turn an ambiguous request into manageable increments, make sound trade-offs and follow through without needing each step prescribed. You ask useful questions, seek feedback and raise uncertainty or blockers early. You adapt as priorities change, learn unfamiliar systems and technologies, and contribute where the squad needs you. You bring a strong backend specialty while remaining willing and able to work on frontend features and supporting infrastructure. You reason about how a service behaves in production: how it is deployed, where its data lives, what happens when dependencies fail, and how the team detects and recovers from problems. You communicate clearly in writing and in conversation. In a distributed team, you make decisions, progress and risks visible so colleagues can contribute across time zones. You work independently while staying connected to the squad. As a Staff engineer, you bring technical depth and sound judgment while remaining close to implementation. You collaborate constructively with other experienced engineers, welcome different perspectives and help the squad reach decisions and move forward. We embrace thoughtful use of AI-assisted development. We value engineers who use these tools to support exploration, implementation, testing and documentation while taking responsibility for the quality and correctness of the result. Requirements Substantial experience designing, delivering and operating production backend systems, with the depth and judgment to lead complex work hands-on. Strong experience building and operating production backend systems in Go, our primary backend language. Professional experience contributing to frontend applications using TypeScript and React, or comparable technologies, and willingness to work across the stack as priorities change. Experience reasoning about distributed systems, including partial failures, retries, consistency and interactions between services. Experience with relational databases, including data modelling, schema migrations, query performance and safe production changes. Practical experience deploying and troubleshooting containerised services and jobs in Kubernetes. Experience managing cloud infrastructure through code and working with CI/CD pipelines, environment configuration and controlled rollouts. Ability to investigate production problems using logs, metrics and traces, and turn findings into lasting improvements. A record of delivering projects end to end, clarifying requirements, making trade-offs and following through after release. Experience working remotely, with clear asynchronous communication and dependable collaboration across time zones. Ability to learn unfamiliar domains and technologies, adjust your approach as new information emerges, and take ownership beyond your main area of expertise. Experience writing readable, well-tested software that other engineers can understand, maintain and operate. Willingness to participate in on-call and take responsibility for the production behaviour of the systems you build. Experience supporting colleagues through code reviews, mentoring and constructive technical discussions. Bonus Points For Usage metering, billing engines, pricing and rates, financial reconciliation or customer-facing cost management applications. Reducing operational toil and automating workflows with recurring exceptions or manual interventions. Systems with auditability, traceability or financial-control requirements. MySQL operations, replication, database upgrades and performance tuning. Terraform, Jsonnet and Kubernetes deployment configuration. Argo Workflows or comparable deployment and job-orchestration tooling. Cloud infrastructure involving managed databases, object storage, service accounts and access controls, particularly on GCP. Data synchronisation pipelines and BigQuery integrations. Cloud marketplace integrations across AWS, Azure or GCP. Integrations with business platforms such as NetSuite or Salesforce. Observability tools such as Grafana, Prometheus, Loki or OpenTelemetry. In Canada, the compensation range for this role is $186,368 - $223,642 CAD. 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: 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 remote position. We are seeking candidates in US and Canada. The Opportunity Application Core Services (AppCore) is a group within Platform, in the Foundations department. We build and operate systems that support Grafana’s business operations and customer experience, working closely with product teams and internal business partners. The Usage squad works on billing, rates, usage calculations, usage visibility and cloud marketplace integrations. Our software helps customers understand their consumption and costs, and helps internal teams operate accurate, reliable billing processes. We are looking for a Staff Fullstack Engineer with strong backend experience who enjoys making complex business systems reliable, understandable and easier to operate. You will help deliver new capabilities while improving existing services, reducing repetitive manual work and addressing edge cases that affect customers and internal stakeholders. This is a hands-on Staff engineering role within the AppCore Usage squad. You will lead complex technical work, contribute directly to implementation and share ownership with the squad’s other Staff and Senior engineers. Your primary focus will be Usage’s systems and outcomes, collaborating with adjacent teams when the work requires it. Our ownership includes application code, data stores, deployment configuration and the cloud infrastructure supporting our services. You should be comfortable following a problem across those boundaries and making improvements with the appropriate platform teams. We are remote-first and global. For this role, we prefer candidates in NASA’s Eastern Time zone to provide more overlap with our EMEA colleagues. What You’ll Be Doing Your initial focus will be approximately 75% backend and 25% frontend. This balance will evolve with the squad’s priorities. You should be comfortable delivering across the stack, from business logic and APIs through to the interfaces customers and internal teams use. Design, build and operate backend services and APIs supporting billing, rates, usage calculations, usage visibility and marketplace workflows. Build and maintain backend services primarily in Go, with Node.js also present in our stack, and contribute to TypeScript/React applications to deliver complete features. Improve the correctness and reliability of billing and usage workflows, including validation, reconciliation, error handling and recovery. Identify recurring manual tasks and replace them with maintainable automation, clear operational workflows and appropriate controls. Maintain and evolve the infrastructure supporting our services, including Kubernetes workloads, scheduled jobs, cloud resources and deployment configuration. Use infrastructure as code and automated delivery pipelines to make changes repeatable, reviewable and safe across environments. Investigate production issues across application code, databases and infrastructure, including resource exhaustion, failed jobs, slow queries and replication delays. Plan and execute service deployments, database changes and infrastructure migrations, including validation, monitoring and recovery plans. Build and maintain integrations with cloud marketplaces and external business systems where required by the squad’s work. Deliver projects from understanding requirements and proposing an approach through implementation, testing, rollout and production support. Make changes traceable and testable, supporting audit requirements and clear explanations of system behaviour. Collaborate with product management, Support, DealOps, GTM, infrastructure teams and adjacent AppCore squads to clarify requirements and resolve dependencies. Share technical leadership through design discussions, code reviews, mentoring and practical improvements. Participate in the squad’s on-call rotation after onboarding. Improve dashboards, alert quality, runbooks and recovery procedures, and follow through on incident findings. What Makes You a Great Fit You enjoy engineering work where correctness, reliability and business impact matter. You find value in improving an established system, removing a recurring operational problem or making a billing workflow easier to understand and support. You take ownership from understanding the problem through delivery and production support. You can turn an ambiguous request into manageable increments, make sound trade-offs and follow through without needing each step prescribed. You ask useful questions, seek feedback and raise uncertainty or blockers early. You adapt as priorities change, learn unfamiliar systems and technologies, and contribute where the squad needs you. You bring a strong backend specialty while remaining willing and able to work on frontend features and supporting infrastructure. You reason about how a service behaves in production: how it is deployed, where its data lives, what happens when dependencies fail, and how the team detects and recovers from problems. You communicate clearly in writing and in conversation. In a distributed team, you make decisions, progress and risks visible so colleagues can contribute across time zones. You work independently while staying connected to the squad. As a Staff engineer, you bring technical depth and sound judgment while remaining close to implementation. You collaborate constructively with other experienced engineers, welcome different perspectives and help the squad reach decisions and move forward. We embrace thoughtful use of AI-assisted development. We value engineers who use these tools to support exploration, implementation, testing and documentation while taking responsibility for the quality and correctness of the result. Requirements Substantial experience designing, delivering and operating production backend systems, with the depth and judgment to lead complex work hands-on. Strong experience building and operating production backend systems in Go, our primary backend language. Professional experience contributing to frontend applications using TypeScript and React, or comparable technologies, and willingness to work across the stack as priorities change. Experience reasoning about distributed systems, including partial failures, retries, consistency and interactions between services. Experience with relational databases, including data modelling, schema migrations, query performance and safe production changes. Practical experience deploying and troubleshooting containerised services and jobs in Kubernetes. Experience managing cloud infrastructure through code and working with CI/CD pipelines, environment configuration and controlled rollouts. Ability to investigate production problems using logs, metrics and traces, and turn findings into lasting improvements. A record of delivering projects end to end, clarifying requirements, making trade-offs and following through after release. Experience working remotely, with clear asynchronous communication and dependable collaboration across time zones. Ability to learn unfamiliar domains and technologies, adjust your approach as new information emerges, and take ownership beyond your main area of expertise. Experience writing readable, well-tested software that other engineers can understand, maintain and operate. Willingness to participate in on-call and take responsibility for the production behaviour of the systems you build. Experience supporting colleagues through code reviews, mentoring and constructive technical discussions. Bonus Points For Usage metering, billing engines, pricing and rates, financial reconciliation or customer-facing cost management applications. Reducing operational toil and automating workflows with recurring exceptions or manual interventions. Systems with auditability, traceability or financial-control requirements. MySQL operations, replication, database upgrades and performance tuning. Terraform, Jsonnet and Kubernetes deployment configuration. Argo Workflows or comparable deployment and job-orchestration tooling. Cloud infrastructure involving managed databases, object storage, service accounts and access controls, particularly on GCP. Data synchronisation pipelines and BigQuery integrations. Cloud marketplace integrations across AWS, Azure or GCP. Integrations with business platforms such as NetSuite or Salesforce. Observability tools such as Grafana, Prometheus, Loki or OpenTelemetry. In the United States, the compensation range for this role is $174,986 - $209,983 USD.  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: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Senior Manager, 3P Revenue Accounting & Reporting to join our Accounting team. You will own revenue recognition, month-end close and reporting for Claude sold through our cloud service provider (CSP) channels: AWS Bedrock, Google Cloud Vertex AI and Microsoft Azure Marketplace. These channels are among the fastest-growing revenue streams at the company. They run on consumption-based, partner-reported data that changes every month. You will be the accounting point of contact for the finance and partner teams at AWS, Google and Microsoft. Internally, you will partner with Finance, FAB, Engineering and business teams to turn partner billing feeds into accurate, auditable revenue. You will also lead the automation of a close that is still heavily manual. If you want to build the financial infrastructure behind a fast-growing AI company, come join us in our mission to build safe, beneficial AI. Key responsibilities Lead the revenue close for cloud service provider Marketplace within a listed company timeline. Prepare and review revenue, revenue-share, reserve journal entries, accruals and true-ups including memos for accounting assessments and judgments. Own balance sheet reconciliations, reserves, and the usage-to-invoice-to-cash bridge. Perform monthly and quarterly flux analysis and prepare flux decks for leadership. Own quarter-end deliverables, including footnote disclosures, flux commentary and presentations to leadership and Corporate Accounting. Serve as the primary contact for external auditors. Review the work of accountants and contractors, set the close calendar, and keep close packages complete and audit-ready. Own monthly and quarterly 3P revenue reporting for leadership and FP&A, by partner, model, product, region and customer. Review partner usage, invoice, disbursement and fraud reports each month, and resolve data issues before close. Serve as the accounting point of contact for the finance, engineering and product teams and drive reporting improvements that support an on-time close. Apply ASC 606 to 3P arrangements, including principal-vs-agent, variable consideration and reseller arrangements. Estimate and document reserves, including credit loss (ASC 326). Assess the accounting for new 3P products, programs and billing changes, partnering with Technical Accounting on complex judgments. Partner with the Engineering teams to automate manual close processes, including SQL-driven workbooks, automated reconciliations and system-generated journal entries. Own 3P SOX controls, including design, documentation, gap remediation and audit evidence. Partner with FP&A, Treasury, AR and business teams on forecasts, cash and partner disputes. Minimum qualifications Have strong ASC 606 knowledge, especially principal-vs-agent, variable consideration, consideration payable to a customer, and consumption-based revenue. Have owned a month-end close with tight deadlines and reviewed journal entries, reconciliations and flux analysis. Have built revenue reporting from large, imperfect third-party data sets and reconciled it to the general ledger. Have managed external partner relationships where you depended on their data, and pushed for fixes. Have strong SQL skills (BigQuery or similar) and experience automating close workbooks or reconciliations. Have designed or operated SOX controls and supported external audits. Communicate clearly with accounting, finance, business and engineering teams. Thrive in fast-paced, ambiguous environments where processes are still being built. Preferred qualifications Have 10+ years of progressive accounting experience, including 3+ years managing revenue accounting or close teams. A Bachelor's degree in Accounting or Finance; CPA or equivalent (ACA, ACCA). Big 4 audit experience combined with industry experience at a high-growth tech or SaaS company. Experience with cloud marketplace, reseller or channel revenue (AWS Marketplace, Google Cloud Marketplace, Azure Marketplace). Experience with usage-based and subscription revenue models. Hands-on experience with Workday Financials, NetSuite, Numeric, Hex or similar close and reporting tools. Experience with IPO readiness. Experience using AI tools to automate accounting and reporting work. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

-5+ years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering. -4+ years of hands-on experience with GCP, Terraform, and Terragrunt.

Design and own the semantic layer and aggregation architecture across clients with 2 to 250 locations each. Build and maintain pipelines from sources like Mindbody, Zenoti, Boulevard, Mariana Tek, Domo, QuickBooks Online, GA4, Google Ads, Meta, and Klaviyo.