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Engineering Operations Technician, Data Center, DCEO

We are looking for a Data Center Engineering Operations Technician to join our expanding team in Switzerland. As an Data Center Engineering Operations Technician, you'll independently troubleshoot and maintain electrical and mechanical systems, and respond to operational issues with minimal supervision. Your work will help maintain one of the world's largest information system infrastructures. If you enjoy hands-on problem solving in a process-driven environment, we'd like to meet you!Switzerland based candidates only (valid work permit required).Key job responsibilitiesOn-site management of contractors, sub-contractors and vendors, ensuring that work performed is in accordance with established practices, procedures & local legislation.Maintain performance benchmarks, & prepare reports on all aspects of the critical facility infrastructure operations & maintenance.Generate Change Management requests & Incident Management tickets as directed.Learn and contribute to documentation relevant to business & facility operations.Assist with rack installation and the provision of power/cooling.Become involved with routine maintenance and emergency services on critical systems such as: switchgear, generators, UPS systems, power distribution equipment, cooling equipment, building monitoring systems, etc.Assist and learn about the design, implementation, commissioning and build out of new facilities.Assist with the management of facility assets.Participate in Construction & Operational Meetings as required.Assist with Work Order compliance and review of contractual SLAs.Interface with Infra Ops teams for day to day operational requirements.Assist in the resolution of any infrastructure engineering or services issue.Delivery of exceptional customer service and satisfaction.Meet daily hours of operations, on-call requirements for response outside of hours and potential future shift rotations.A day in the lifeYour day-to-day activities will include:Monitoring alarms and systems that manage power, cooling, and fire suppression in the data center.Coordinating vendor work on-site to ensure equipment is maintained and uptime is preserved.Supporting other teams and sites during events and planned works.Handling rack installations and powering up equipment.Monitoring and facilitating the handover of new equipment.Sharing knowledge and supporting new team members.Participating in event response drills.About the teamAt AWS, we value diverse experiences. Even if you don’t meet all of the qualifications, we encourage you to apply. We welcome candidates from all career paths, regardless of your professional journey. Basic qualifications- Experience with electrical or mechanical systems, or equivalent- Knowledge of data center infrastructure including mechanical, electrical, controls and life safety systems- Familiarity with reading technical documentation and drawings- Computer literacy with Windows and common business applications- Fluency in English- Valid Swiss work permit required- Electrical or Mechanical Engineering diploma or equivalent- Knowledge of mechanical systems (Mechanical, HVAC systems, Controls), or knowledge of key electrical competencies and theory Preferred qualifications- Experience in mission critical facilities (data center, oil and gas, marine industries, production or medical facilities)- Diploma or Degree in relevant technical field- Swiss electrical switching certification- Fluency in GermanAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Staff Data Engineer

Who is Sonar? Sonar enables organizations to ship agentic code with confidence. Code creation is abundant, but confidence is scarce. Our core platform, SonarQube, verifies over 750 billion lines of code every day, delivering agentic verification and governance for all code. Trusted by more than 7 million developers and 75% of the Fortune 100, including teams at Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company, Sonar enables organizations to reduce outages, improve security, and lower the cost and risk of agentic software development.Founded in Geneva and now headquartered in Austin, Texas, Sonar has a global team working across offices and hubs, including Silicon Valley, London, Bochum, Barcelona, Singapore, Tokyo, and the Washington, D.C. area. At Sonar, we’re enabling enterprises to build agentic software factories that can move quickly while maintaining the control, consistency and evidence required to ship with confidence. Position description:   We want to make the best decisions possible for our products and to do that, we need to make data-driven decisions. To achieve this goal, we are looking for a talented Data Engineer - you! - to join the Data & ML Platform team. Together, we will make Sonar’s products the undisputed world-leading code remediation solution!   What you will doYou will design and develop the data platform to support the functional domains in handling their data and help them in their journey to data ownership. This means: Design and implement data storage, transformation, and load capabilities of our pipelines. Continuously enhance the data platform. Propose, implement and manage data handling services according to  stakeholders needs (Product Managers, Marketing, Sales, engineering teams, ...) Establish top-class end-to-end pipelines including data cleaning and modelling. Develop and deploy connectors to data sources of interest. Maintain evergreen data flow documentation across systems. Collaborate on Data Governance with other stakeholders/domains. Work with the security function to ensure we adhere to expected security standards. Collaborate with the incident manager to bring your expertise when asked and own implementation of recommendations from post-mortems. Experience and qualifications You have solid software engineering experience, focusing on developing data engineering pipelines and storage in the cloud. You have been exposed to big data architecture essentials, streaming, ETL batches, data store administration, … You see yourself as a developer working on data. You are motivated by both technical and functional aspects of services. You are a friendly, enthusiastic, and organized team player. You actively share your knowledge and give and receive feedback to improve the team and yourself. Strong experience building end-to-end ETLT, ETL, or ELT pipelines with batch or streaming technologies in Python. Experience working with Databricks as a Platform or building data pipelines with PySpark is a plus. Strong experience with the AWS platform including, but not limited to, services such as: Glue, RedShift, CloudFormation, S3, CloudWatch, Lambdas, etc… or equivalents Good knowledge of data engineering concepts (Data Lake, Data Warehouse, etc…) Experience with Infrastructure as code tools (CDK, CloudFormation, Terraform) You are fluent in English, both written and spoken Why you will love it here: • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice. • We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate! • We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday). • We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them. We prioritize Diversity, Equity, and Inclusion: At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures. We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date. Please note that applications submitted through agencies or third-party recruiters will not be considered.   Why you will love it here:   • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice. • We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate! • We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday). • We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them.     We prioritize Diversity, Equity, and Inclusion:   At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures.   We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.   All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.   Please note that applications submitted through agencies or third-party recruiters will not be considered. In-office culture We're intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having.  Candidates need to be genuinely based in the location the role is posted  — if that's not where you are today, we're happy to support relocation for the right person.   We value diversity, equity, and inclusion At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at hiring@sonarsource.com.  All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.  Applications that are submitted through agencies or third party recruiters will not be considered.

Data Scientist, Product Analytics

Who is Sonar? Sonar enables organizations to ship agentic code with confidence. Code creation is abundant, but confidence is scarce. Our core platform, SonarQube, verifies over 750 billion lines of code every day, delivering agentic verification and governance for all code. Trusted by more than 7 million developers and 75% of the Fortune 100, including teams at Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company, Sonar enables organizations to reduce outages, improve security, and lower the cost and risk of agentic software development.Founded in Geneva and now headquartered in Austin, Texas, Sonar has a global team working across offices and hubs, including Silicon Valley, London, Bochum, Barcelona, Singapore, Tokyo, and the Washington, D.C. area. At Sonar, we’re enabling enterprises to build agentic software factories that can move quickly while maintaining the control, consistency and evidence required to ship with confidence.  Position description Operating within the Data & Insights team, your mission is to decode customer behaviors and transform product engagement into high-impact, actionable intelligence. By bridging the gap between product adoption and commercial data, you will construct a holistic view of user health and the tangible value we provide. You will take full ownership of the product-usage analytics lifecycle. This involves hands-on data exploration, hypothesis testing, and deep collaboration with Data and Analytics Engineers to architect the foundational models you require. Success is defined by analytical rigor and your ability to steer strategic product and Go-to-Market (GTM) decisions. Embedded in our central Data & Insights department, this role serves as a strategic partner to our Product organisation, driving cross-functional synergy with other departments, engineering, and data science teams to maximize overall success. Success depends on genuinely understanding the product you're analyzing, not just the data behind it. What you will do Understand product usage. Work closely with product managers (PMs), building a deep understanding of the product itself, to analyze how customers adopt and use it, and identify patterns in engagement, feature usage, and retention.to Analyze how customers adopt and use the product, and identify patterns in engagement, feature usage, and retention. Connect usage to outcomes. Link product usage data to customer and sales data to reveal how usage relates to expansion, churn risk, and account health. Define usage-based signals. Build the logic behind usage scoring, health indicators, and other metrics that translate behavior into insights that drive activation, retention, and expansion.  Be proactive. Explore product, sales, and customer data to surface findings nobody asked for. Anticipate the next question. Run experiments and validate. Test which usage signals actually predict outcomes, applying sound statistical methods and being honest about significance and causality. Partner on the data foundation. Work with Data and Analytics Engineers to get product and sales data into the warehouse and modeled well. Define requirements and contribute to data models that connect product usage with customer and sales data. Tell the story. Communicate insights clearly to stakeholders across the business, and document context, caveats, and decisions so the work survives handoffs. Experience and qualifications Deep product understanding and a track record of working effectively with PMs, translating product knowledge and usage data into decisions they act on.  Strong analytical track record: someone who has measurably influenced revenue, product, or GTM decisions through analysis, not just produced reports. Comfort with the latest AI tools, and a habit of using them to work faster and sharper: You stay current as the tooling evolves and bring new approaches to the team. Eagerness to develop: you actively grow your skills, seek feedback, and treat new tools and methods as opportunities rather than threats. Solid SQL. You can independently query, join, and explore data without waiting for someone to prepare it for you. Proficiency in Python for analysis, modeling, and automation. Experience with ML and statistical libraries (e.g. scikit-learn, statsmodels) for modeling, prediction, and inference. Statistical foundation: experimentation, significance testing, regression, segmentation, forecasting, and the judgment to know which applies. Working knowledge of how product usage connects to revenue: funnels, cohorts, retention, account health, and the realities of joining product usage data with CRM and sales data. Willingness to get hands-on with data modeling. You don't need to be a dbt expert, but you must be comfortable exploring messy data and partnering on (or building) the models you need rather than waiting for clean tables. Strong communication and stakeholder skills: you can challenge weak measurement respectfully and make a recommendation, not just present options. Proactivity and autonomy: you raise your hand early, plan your own work, and look for impact without being asked. In-office culture We're intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having.  Candidates need to be genuinely based in the location the role is posted  — if that's not where you are today, we're happy to support relocation for the right person.   We value diversity, equity, and inclusion At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at hiring@sonarsource.com.  All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.  Applications that are submitted through agencies or third party recruiters will not be considered.

Data Center Engineer

Join Proton and build a better internet where privacy is the default At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations. Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online. Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions. We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here! The team: You will be joining the Data Center and Hardware Team.  At Proton, we operate our own private cloud infrastructure, which is distributed across multiple data centers and regions. This infrastructure, built primarily on open-source technology, is doubling every year and requires 24/7 operation. Join our Team at Proton, where you will play a vital role in ensuring the smooth operation, scaling and maintenance of our private cloud infrastructure.  Purpose of the role As a Data Center Engineer, you will be responsible for monitoring, troubleshooting, scaling and optimizing our infrastructure systems to ensure their reliability, cost efficiency and performance. You will collaborate closely with our IT team, network engineers, and system administrators to identify and resolve any issues, as well as propose and implement new innovations. You will work with cutting-edge infrastructure platforms and collaborate with a talented team of humans passionate about technology. What you will do ●    Server stacking and cabling installation in our rooms●    Performing HW troubleshooting and basic HW repairs for Servers and Network equipment (PSU, Network cards, CMOS batteries, Memory, Optics...)●    Diagnostic and repair of defective network fiber links and interfaces●    Coordinate logistics for new hardware and parts procurement●    Supervision Data Center remote hands contractors, work orders plan and execution for local and remote sites●    Management of material stock and purchases: Working together with our procurement teams to ensure all needed parts are available for the Data Center operations●    Data center environment monitoring●    Help run HW selection validation test, performance tuning and benchmarking as a pair of HW sourcing Job requirements ●    Experience racking and cabling servers with high standards●    Experience with HW troubleshooting●    Good understanding of Data Center infrastructure ( racks, cabling, power, cooling)●    Computer hardware architecture knowledge●    Basic user experience of configuration management tools and version control systems  ●    Ability to track and communicate the status of different projects●    Ability to keep up in an extremely fast-paced environment●    Good communication skills and ability to work in a multicultural environment●    Availability to travel to different locations for short-term projects●    Work proficiency in English Bonus points for:  ●    Linux user or admin experience and scripting skills●    Advance HW repairs experience ●    Project management experience●    DCIM experience as user or administrator●    HW provisioning, burn-in and validation experience ●    Electrical engineer background Even if you don’t meet all the requirements listed above, but feel you could still be a great fit, please still apply. What We Offer Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. Depending on the role, fully remote positions may also be available. Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals. Food: Lunch and snacks are provided by Proton every day at our offices. Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location. Stock Options: At Proton, we are all owners of the company and you get stock options when you join us. Flexible Working: You can define your own working hours as long as it works with team meetings. Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning. Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs. Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here. Our Commitment to Diversity and Inclusion At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected. If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know. Candidate Privacy Notice When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills. If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch. Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton. To learn more about our privacy policy, please visit our privacy policy page. #LI-ONSITE

Database Reliability Engineer

Salary: CHF 85'000 - 105'000 per year Requirements: Anglais courant requisFrançais apprécié Responsibilities: Assurer lexploitation, la maintenance et lamélioration continue des environnements PostgreSQL, MariaDB/MySQL, SQL Server, MongoDB, CouchDB, Redis et Kafka.Piloter les activités liées au cycle de vie des bases de données : patching, upgrades et sauvegardes. Technologies: KafkaMariaDBMongoDBMySQLPostgreSQLRedisSQLUX UI Design More: Chez Bechtle, nous comptons plus de 16 000 employés et figurons parmi les entreprises informatiques les plus prospères et les leaders de notre secteur. Nous associons la vente directe de produits informatiques à une gamme complète de prestations de services, pour accompagner les entreprises moyennes, les grands groupes et le secteur public partout en Europe. Pour le compte de notre client basé à Genève, nous recherchons un Database Reliability Engineer (f/m/d) afin de contribuer à la fiabilité, à la performance, à la sécurité et à lautomatisation dun environnement de bases de données hétérogène et critique. Nous proposons six semaines de vacances par an, un plan de prévoyance attractif, une vaste gamme de formations professionnelles et personnelles par lintermédiaire de lAcadémie Bechtle, ainsi que des tâches variées dans un secteur tourné vers lavenir. last updated 44 week of 2026

Senior Technical Program Manager - New Data Center Launches

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Technical Program Manager, you will own the end-to-end delivery of GPU clusters and other critical IT infrastructure components that power next-generation AI workloads. In this high-impact role, you’ll coordinate engineering, networking, construction, and operations teams to deliver GPU clusters and critical IT infrastructure at hyperscale. You’ll work closely with infrastructure leadership to define strategy, manage risk, and ensure on-time, high-quality launches.You’ll play a key role in scaling our global infrastructure footprint across the EU markets. Travel: This position may require on-site presence at data centers during key deployment phases. Your responsibilities will include: Lead end-to-end delivery of new data center programs, from design through handover to operations. Define and manage scope, schedule, and risks, maintaining focus on critical paths and proactive issue resolution. Translate business and technical requirements into actionable project plans and measurable deliverables. Oversee vendor and contractor execution, ensuring quality, budget, and schedule. Provide structured program reporting, including dashboards, documentation, and executive updates. We expect you to have: 7+ years of experience in technical program or project management, with direct involvement in large-scale IT infrastructure deployments. Solid technical background in relevant domains, with the ability to engage deeply in technical discussions and challenge solutions where needed. Proven ability to stay focused on critical paths and drive results in fast-paced, changing environments. Communication and stakeholder management skills; able to translate complex topics clearly. Leadership by influence and example in cross-functional or matrixed teams. Proficient with modern project management tools and methodologies (e.g., Jira, Asana, hybrid Agile/Waterfall). It will be an added bonus if you have: Understanding of construction projects structure and key risk factors in facility build-outs. Knowledge of HPC Experience in business processes design or automation tools development. PMP, PRINCE2, or similar industry certifications. #LI-RK1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Senior Data Scientist, Product

RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. The role We are looking for a Senior Product Data Scientist who is deeply product-minded and highly proactive. This is not a role for someone who waits for perfectly defined questions or works in isolation. We are looking for someone who actively looks at our data, understands our customers’ pain points, identifies opportunities, and pushes ideas forward. You will work closely with Product, Engineering, and Analytics to shape what we build, why we build it, and how we measure success. Your work will directly power customer-facing features such as LTV prediction, experimentation and statistical significance, benchmarking, and entirely new data-driven products we have not built yet. You will be expected to bring ideas to the table, backed by analysis and clear hypotheses, and to influence product direction through data. Our data stack includes a Python backend, PostgreSQL production databases, Snowflake, dbt, and AWS. What you will do Proactively explore RevenueCat’s data to identify customer problems, opportunities, and product bets. Translate ambiguous product and business problems and questions into clear analyses, models, and recommendations. Partner with Product Managers to shape roadmaps, not just execute on them. Design, build, and ship production-grade predictive and descriptive models that power customer-facing features. Define and evaluate statistical approaches for experimentation, benchmarking, and forecasting. Communicate insights clearly and persuasively to technical and non-technical audiences, with a focus on customer impact. Continuously iterate on shipped models and features based on real-world usage and feedback. This role has real ownership. You will not just support decisions, you will help drive them. About you You are a Senior Data Scientist who cares deeply about impact and product outcomes. From a skills perspective, you bring: 5+ years of experience working as a Data Scientist. Strong SQL skills and comfort with data modeling. Experience building and deploying predictive and descriptive models in production. Experience writing or collaborating on production-ready Python code. A solid understanding of statistics and experimentation, ideally including Bayesian approaches. The ability to clearly explain complex ideas and results to broad audiences. You recognize yourself in several of these: You are highly proactive and opinionated, and you are comfortable pushing ideas forward. You enjoy working with messy, real-world data and imperfect information. You care more about creating customer value than academic elegance. You are comfortable operating in ambiguity and building structure where none exists. You enjoy working closely with Product teams and influencing decisions. You are excited by the consumer subscription ecosystem and curious about how developers make money. What success looks like In the first month, you'll: Understand our data models. Get to know the team. Ramp up on the ongoing data feature work. Implement and ship your first project. Within the first 3 months, you'll: Meaningfully contribute to shipping a data feature to thousands of developers. Learn the basics of incident response, and be part of the on-call rotation. Work with our Product, Analytics and Engineering teams to improve our data pipelines for data science features. Launch your own explorations into our data to fulfill your own curiosity. Within the first 6 months, you'll: Own one or more core data-powered features end to end. Influence the data feature roadmap with clear, data-backed proposals. Be a go-to partner for product teams on data-driven decision making. Within the first 12 months, you'll: Propose and lead entirely new data-driven product initiatives. Push the boundaries of how RevenueCat uses data to help developers grow revenue. Help shape how data science operates at RevenueCat as the function grows. What we offer: Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator 10-year window to exercise vested equity options A fully remote environment designed around autonomy and flexibility 4-5 weeks of flexible time off annually Paid desk at a co-working space Workspace budget and continuous learning stipend Interviewing at RevenueCat Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat, including tips to help you succeed. More on how we work: How we think about hiring and team design: Building a Winning Team The values that guide how we work: Our Values How we work as a remote team: How We Work Remotely at RevenueCat What to expect from our interview process: Interview Expectations What to expect from comp and employment: Employment FAQ

Principal, Product Analytics

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role We're looking for a Principal, Product Analytics who loves getting to the bottom of things. You'll do the deep investigative and technical work that explains why users and customers behave the way they do, and turn it into decisions that change the product and the business. We're building a more proactive data function, and this role is its deep-investigation engine. You'll take ambiguous, high-stakes questions about user behaviour and customer experience and follow them wherever the data leads, across acquisition, activation, usage and the wider customer journey. You'll work hands-on and independently, partnering with Product Managers, engineering managers and commercial teams, and working alongside a VP of Growth who will set the function's direction and build the team. Your findings will inform experiments, the roadmap and company strategy. What you'll do Go looking for what nobody asked about. This is the heart of the role. You'll notice when something looks off in a funnel, a cohort or a metric, disappear into it, and come back with a product issue, a cost leak or an opportunity nobody was looking for. You set much of your own agenda, and you don't wait for a request to start digging. Lead deep investigations into user behaviour and customer experience across product and non-product touchpoints, including support, customer success and sales. Find where activation breaks. Identify failure points in the user journey, including those that could become productised capabilities. Understand acquisition and intent. Dig into acquisition channels, user use cases and what people are actually trying to achieve. Do rigorous causal and statistical work. Go beyond correlation with regression, causal analysis and well-designed experiments, and be clear about what the evidence does and doesn't support. Build models that drive action. Apply data science to real business problems, such as churn modelling that can trigger real-time product action, and explain clearly how models are applied and what impact they have. Analyse unstructured and AI-specific data. Work with agent-user conversations, context layers and evaluation systems alongside structured product data. Size opportunities. Produce market opportunity sizing that helps the business prioritise. Measure how we build. Partner with engineering managers on organisational productivity metrics. Communicate for impact. Translate findings into clear recommendations for product teams, management and executives. What we're looking for Must-haves Deep product analytics experience across growth and broader product areas, with a record of investigations that changed decisions. Data science and modelling experience, and the ability to explain how you applied it and what business impact it had. Strong grounding in correlation, regression and causal analysis. A proactive approach. You surface insights and shape the agenda rather than working to a brief. Genuine curiosity. You notice what looks off and dig until you understand why. Clear communication with management and executives about business impact, simplifying complex analysis into actionable recommendations. Preferred Experience with unstructured data. Experience at an AI-native company, or with the added data complexity AI products bring. Understanding of subscription businesses. Understanding of the PLG motions in a B2B space. Bonus points if you've… Worked on multi-product platforms where upsells, cross-sells and bundling were a key revenue driver. Worked alongside qualitative research, connecting the what (data) with the why (qual). Done pricing and packaging work: willingness-to-pay, price testing, bundle performance. How we work We optimise for responsibility and freedom. No ticket conveyor belt. We run on ownership and a small number of high-impact projects. Close collaboration with Product, Engineering, Growth and commercial teams to ship real outcomes. A bias toward pragmatic solutions that get used, measured and improved. Why join Do the hardest, most interesting analytical work in the company, with direct line of sight to product and strategy decisions. Work across structured and unstructured data, customer conversations and AI evaluation, at the intersection of product usage, AI and revenue. Independence and impact at principal level, without the management overhead.

Lead Forward-Deployed Engineer (Data platform)

Salary: CHF 135'000 - 150'000 per year Requirements: 6+ years of professional experience with 2+ years in platform engineering or forward-deployed solution engineering rolesProven expertise in Snowflake and ClickHouseStrong proficiency in dbt and FivetranHands-on experience leveraging AI-assisted or agentic development toolsAbility to analyze platform performance and optimize architectures for scalability and speedExperience with AWS Data StackFamiliarity with tools such as Anthropic Claude or AWS BedrockProfessional fluency in English Responsibilities: Continuously assess platform performance and identify bottlenecks or inefficiencies for improvementEmbed AI and agentic tooling in platform environments to enhance speed, reliability and cost-effectivenessPrototype new platform capabilities across ingestion, transformation and query workflowsValidate prototypes directly with end users prior to transferring into the build processOwn technical feasibility assessments for emerging AI-driven and agentic optimization opportunitiesHarden validated prototypes for delivery and integration into standard pipelines with Data Platform EngineersContribute reusable optimization patterns to the AI Solution Engineering practice Technologies: AIAWSClickHouseFivetranPostgreSQLSecuritySnowflakedbtCloud More: We are looking for a Lead Forward-Deployed Engineer (Data platform) to join our team in boarder Zurich area, Switzerland in a hybrid working mode. In this role, you will contribute to a large-scale international IT engagement focused on modern data platforms, security, business applications and IT operations. You will join the Data track, collaborating with Data Architects, BI Engineers and Business Analysts while working closely with an onsite delivery lead. Your focus will be on optimizing and enhancing a modern data platform built on technologies such as Snowflake, ClickHouse, dbt, Fivetran and AWS-native data services. Additionally, you will embed AI and agentic tooling where practical value is measurable, prototype new platform capabilities and validate improvements with users before development handoff.We offer/Benefits- 5 weeks of vacation- EPAM Employee Stock Purchase Plan (ESPP)- Enhanced parental leave- Extended pension plan- Daily sickness allowance insurance- Employee assistance program- Global business travel medical and accident insurance- Learning and development opportunities including in-house training and coaching, professional certifications, and courses*All benefits and perks are subject to certain eligibility requirements- Please note that any offers will be subject to appropriate background checks- We do not accept CVs from recruiting or staffing agencies- For this position, we are able to consider applications from the following: - Swiss nationals - EU/EFTA nationals - Third-country nationals based in Switzerland with an appropriate work permit - Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits last updated 44 week of 2026

Lead Forward-Deployed Engineer (Data Integration)

Salary: CHF 120'000 - 150'000 per year Requirements: Overall experience of six or more years, including three or more in integration engineeringExperience of two or more years in forward-deployed or solution engineering rolesStrong proficiency in API integration developmentHands-on experience with Fivetran and dbtExperience with Mulesoft APIsPractical exposure to AI-assisted development or agent-based toolingDemonstrated client-facing technical leadership capabilityFamiliarity with Anthropic Claude or Amazon BedrockEnglish proficiency at CEFR B2 level Responsibilities: Lead client engagement on high-priority integration challengesScope AI-assisted integration prototypesBuild and iterate on data integration, ingestion and transformation prototypes using MuleSoft process APIs, Fivetran and dbtDefine and validate technical feasibility and architecture for innovative integration approachesLead hardening and transition of validated prototypes into standard build workflowsAct as a subject matter expert and senior escalation point for data integration technologiesServe as the primary technical liaison for client integration and AI-related initiativesContribute reusable integration patterns and components to the AI Solution Engineering practice Technologies: AIAPIClickHouseFivetranMuleSoftSnowflakedbt More: We are looking for a Lead Forward-Deployed Engineer (Data Integration) to join our team in Lausanne, Switzerland in a hybrid working mode. In this role, you will be instrumental in designing and delivering AI-native integration solutions for a major European energy trading client. The position provides an opportunity to work on high-impact initiatives involving rapid prototyping, data integration and solution architecture. Working with advanced integration tools and alongside client stakeholders, you will help drive transformative outcomes and strengthen strategic partnerships.We offer/Benefits- 5 weeks of vacation- EPAM Employee Stock Purchase Plan (ESPP)- Enhanced parental leave- Extended pension plan- Daily sickness allowance insurance- Employee assistance program- Global business travel medical and accident insurance- Learning and development opportunities including in-house training and coaching, professional certifications, and courses*All benefits and perks are subject to certain eligibility requirements- Please note that any offers will be subject to appropriate background checks- We do not accept CVs from recruiting or staffing agencies- For this position, we are able to consider applications from the following: - Swiss nationals - EU/EFTA nationals - Third-country nationals based in Switzerland with an appropriate work permit - Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits last updated 44 week of 2026