Remote Data & Analytics jobs open to Switzerland

Finance Data Scientist

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a Finance Data Scientist to join our central Data team as the first dedicated analytics partner to Finance. You'll turn billing, revenue and forecasting data into audit-ready numbers, and the analysis that shapes pricing and planning decisions as we scale towards IPO. Own finance-facing analysis: revenue and ARR reconciliation, cohort and retention economics, pricing and packaging experiments. Partner with Analytics Engineering on the certified finance KPI layer (ARR, billing, revenue), and be the first to catch when a number is quietly wrong. Build forecasting and scenario models that FP&A uses directly in planning and board reporting. Translate ambiguous finance questions from FP&A, RevOps and leadership into clear, reusable analysis. Requirements Demonstrated experience as a data scientist or analyst embedded with a Finance / FP&A function, ideally at a growth-stage or pre-IPO company. Strong SQL and Python, with comfort reconciling data across Stripe, Salesforce and a dbt-modelled warehouse. Finance fluency: ARR, billing, revenue recognition, cohort economics — you can speak FP&A's language. Rigour around data quality: you reconcile by default and can explain a variance, not just report it. Strong stakeholder management with Finance leadership, and the ability to push back on ambiguous asks. Bonus Experience preparing finance data for audit, SOX or IPO readiness. Experience with pricing / packaging experimentation or revenue forecasting at a subscription or usage-based business. Experience with dbt or a modern warehouse (BigQuery), partnering directly with analytics engineers. Growth potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: Grow into a Lead Finance Data Scientist role as the central Data team scales. Expand scope into broader strategic finance or RevOps analytics. Path into a Head of FP&A Analytics or data leadership track. Location This role is remote-first, so it can be executed from anywhere in Europe or the US East Coast, with the ability to operate in CET / ET timezones required. If you prefer, you can work from our offices in London, Warsaw, Dublin or New York. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Analytics Engineer

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced Analytics Engineer to join our Data team as one of its first hires. You will own the transformation layer between raw data and business decisions: modelling our data in dbt, defining the certified metrics the company runs on, and setting the standards that every analyst and data scientist at ElevenLabs builds. Drive the implementation of a world-class metric layer for the company: modelling conventions, project structure, testing, CI, and documentation. Design and maintain the certified KPI layer for product (activation, adoption, retention, usage), finance (billing, ARR, revenue), and company-wide topics, built to withstand audit scrutiny. Partner with Data Engineering on evolving the data warehouse architecture, and with stakeholders to turn ambiguous questions into trusted, reusable data products, including data served through AI agents. Requirements Demonstrated experience building and scaling a dbt project and metrics layer, ideally as one of the first analytics engineers on a growing team. Expert knowledge of dbt and advanced SQL (required); strong grasp of dimensional modelling, grain, and incremental patterns. Proficiency across the modern data stack (BigQuery or similar warehouse, Python, BI tools such as Looker). Rigour around data quality: you test, document, and reconcile by default, and you spot a model that runs cleanly but is quietly wrong. Strong ability to understand varied stakeholder requirements, push back where needed, and translate them into generalised, well-documented models. Bonus: Experience modelling billing, subscription and ARR data (Stripe, Salesforce) or product event data at scale. Experience serving data to LLM-based agents or building semantic / metrics layers consumed by AI tools. Experience with CI for data (Slim CI, data contracts, PII policy tags) and infrastructure-as-code for warehouse access. Location This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in GMT and GMT+1 timezones. If you prefer, you can work from our offices in London and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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.

GEOINT Analyst, Scams

Build a Safer World. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. About the Role The Scam Disruption team is TRM's tip of the spear against pig butchering syndicates, romance fraud networks, and investment scam operations that steal billions from victims each year. As a GEOINT Analyst, you’ll be the team's location specialist: finding where scam compounds are, who is operating them, and how they move, then turning that picture into intelligence law enforcement partners can act on. The Impact You Will Have Locate and map scam compounds, people, and devices Fuse intelligence with on-chain attribution and OSINT to identify operators and controllers Find the seams: pivot from a single address, IP, photo, or victim lead to the compound and the people running it Partner with the Threat Intelligence Analyst (Scams Expert), the CTI Analyst, and the All-Source Lead to translate disruption strategy into targeting packages that influence law enforcement and government action What We're Looking For 3 to 5 years of hands-on GEOINT experience: military, IC, law enforcement, or a GEOINT/OSINT firm Works beyond the government toolkit: you can get answers from open-source and commercial tools when classified systems and data aren't available Creative tactical thinking — demonstrated ability to pivot from a single point to a network view, identifying operators behind operations Link and pattern analysis fluency — ability to correlate disparate data sources to generate defensible target packages Clear written and verbal communication: you can explain your methods, your confidence, and your own role in plain terms, and write memos, attribution write-ups, and leads that are actionable AI fluency (required) — you use AI tools in your workflow, synthesizing data, drafting outputs, and accelerating analysis, with examples of how AI has impacted your work Crypto experience is a plus, not a requirement — we teach on-chain tradecraft; we cannot teach the targeter's instinct Familiarity with Southeast Asia scam compounds or Chinese-run criminal networks is a plus Location: remote in the UK, EMEA, or US (including Washington, DC). You must already have the right to work where you're based. About the Team The Scam Disruption team operates within TRM’s Blockchain Intelligence organization, alongside threat intelligence analysts, on-chain investigators, and federal partners All-Source Investigators are the operational core, converting strategy and tooling into prosecutable, actionable intelligence Distributed team with an async-first approach via Slack and Notion, plus structured syncs for alignment High autonomy, high standards, low bureaucracy — work directly with analysts, engineers, and customers who depend on your output Team Operating Rhythms Weekly team syncs to align targeting priorities and review disruption opportunities Daily async standups via Slack on active work, returns, and target packages in flight Primary time zone overlap: US Eastern / Central All output documented in Notion and TRM’s investigative tools Surge availability expected during time-sensitive disruption windows Application Instructions If you’re interested in joining TRM, we encourage you to apply directly. Every application is reviewed by our Talent team. Before applying, review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications. Please also provide thoughtful and accurate answers to the application questions, as these will be used to evaluate your skills and qualifications for the role. If you send your resume directly to someone at TRM, we can’t guarantee it will reach the appropriate hiring team. Applying directly is the best way to ensure your application will be considered. Interviewing with TRM Our process is designed to understand how you think, solve problems, and deliver impact, while allowing you to evaluate TRM. Most interview processes include a case study, an AI skills assessment, and a Leadership Principles interview. Recruiter Intro: Qualifications, motivations, and alignment with the role. Hiring Manager: Deep dive into your relevant experience, skills, and impact. First Round: 1–2 interviews focused on the skills most critical to the role. Final Round: Hands-on case study. This is usually a panel-style session where we go deeper into your craft, problem-solving, and alignment with TRM. References: Former colleagues who can provide insight into your work and impact. Offer: Congrats! Your recruiter will present the offer and compensation details. Welcome to TRM: We're excited to build a safer world with you! Your recruiter will share your specific interview plan and preparation guidance along the way. AI Fluency at TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: Accelerate repeatable workflows Structure and solve problems Improve output quality Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. Life at TRM We are building a safer world. That promise shows up in how we work every day. TRM moves FAST. We are a high-velocity, high-ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: Priorities and targets to change quickly Operating with a high degree of ambiguity A high level of personal ownership and accountability Close collaboration across teams and functions Frequent, high-touch communication Creative problem-solving and out-of-the-box thinking A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires thriving in ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure-test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Leadership Principles We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. Join our Mission At TRM, we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. Privacy Policy and Additional Information By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy. We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM. Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law. If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form. Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

Database Support Engineer (EMEA)

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for an experienced Database Support Engineer to join our Support Team and help developers unblock complex issues, build more reliably, and get the most out of the Supabase platform. You’ll work closely with customers and engineering, helping us improve product quality and developer experience based on real-world usage. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. What You’ll Be Responsible For In this role, you’ll: Investigate and resolve advanced customer issues across Postgres, Auth, RLS, Storage, Realtime, Edge Functions, and client libraries. Provide consultative, proactive advice to optimize workloads, avoid common pitfalls, and offer tailored advice to our most advanced users. Reproduce bugs, isolate root causes, propose workarounds, and escalate to engineering with solid reproduction steps. Ask smart, targeted questions that turn incomplete reports into actionable cases. Communicate clearly and empathetically with users of all levels—especially during high-impact or time-sensitive situations. Spot patterns across tickets and recommend improvements to documentation, tooling, and the product itself. Mentor junior team members and help raise the overall bar for support quality. You Might Be a Good Fit If Experience: You have 7+ years in technical support, databases, backend engineering, SRE, or a similar field. Postgres Expertise: You know PostgreSQL deeply—autovacuum behavior, WAL growth, long-running transactions, table bloat, and other internals. Performance: You’re strong in high-performance SQL and query optimization. Troubleshooting: You’re comfortable troubleshooting complex setups, including multi-tenant schema patterns and distributed system behavior. Technical Skills: * You can debug Edge Functions when failures get tricky. You’ve handled data migration issues (pg_dump/restore, schema drift, failed migrations) and know how to recover safely. You have hands-on experience with cloud hosting providers like AWS. You’re comfortable in terminal and Linux environments. Mindset: You thrive in high-volume situations and can form and test assumptions quickly. Timezones & Logistics Status: Full-time position. Location: Required residency/location within EMEA time zones (we do not believe in the sustainability of overnight shifts). What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.