Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. dbt Labs pioneered the practice of analytics engineering, built the primary tool in the analytics engineering toolbox, and has been fortunate enough to see a fantastic community coalesce to help push the boundaries of the analytics engineering workflow. Today there are 30,000 companies using dbt every week, 100,000 dbt Community members, and over 4,100 dbt Cloud customers. You can learn more about our values here.The teamdbt Labs empowers data practitioners to create and disseminate organizational knowledge. We help organizations build a mature Analytics Development Lifecycle (ADLC), and dbt Cloud is at the heart of this journey.The AI team's mission is to develop AI-powered tooling that enhances each stage of the ADLC. Our goal is to seamlessly embed AI throughout dbt Cloud, enabling users to leverage cutting-edge AI technology to transform data workflows, drive insights, and automate processes.As part of our AI team, you will partner closely with product development teams to design, build, and implement AI features that will shape the future of data-driven decision-making.In this role, you can expect to:Be part of a small, innovative team to build AI-powered, customer-facing features in dbt Cloud.Work closely with product designers and product managers to create beautiful, intuitive, and efficient user interfaces.Lead the development of front-end experiences that leverage AI to enhance the user experience throughout the Analytics Development Lifecycle (ADLC).Continuously improve the performance, accessibility, and scalability of front-end applications to deliver a seamless experience for dbt Cloud users.Engage directly with users and internal stakeholders to iterate quickly on designs, prototypes, and final products.Advocate for best practices in front-end development and ensure that all code is well-structured, maintainable, and tested.Experiment with new front-end technologies and AI tools to push the boundaries of what's possible within the product.You are a good fit if you have:Experience working asynchronously as part of a fully remote, distributed team.A passion for creating intuitive, accessible, and visually engaging user interfaces that solve customer problems using AI-driven approaches.Experience in building and optimizing front-end performance for scalable, large-scale web applications.A keen eye for UI/UX design principles and collaboration with designers to bring mockups and prototypes to life.Familiarity with front-end testing frameworks (e.g. Cypress) and a commitment to writing maintainable and testable code.A strong ability to make trade-offs between delivering features quickly and maintaining long-term front-end architecture quality.Proficiency in reading and writing English, with strong communication skills.You'll have an edge if you have:Experience with front-end performance optimization techniques, including lazy loading, code splitting, and caching strategies.Worked on AI-powered user interfaces or data-heavy applications that leverage machine learning or large language models (LLMs).Experience with design systems and component libraries, ensuring consistency across large-scale applications.Familiarity with GraphQL or REST APIs and how to efficiently interact with backend services in a front-end context.Contributed to or maintained open-source front-end libraries or frameworks.Qualifications:4 - 10 years of experience as a software engineer.Minimum requirement of bachelor's degree in a related field (computer science, computer engineering, etc.) OR completed enrollment in engineering related bootcamp.Salary: 327,000 - 443,000 BRL per year.Equity StakeBenefits:Unlimited vacation (and yes we use it!)Paid Parental LeaveWellness stipendHome office stipend, and more!What to expect in the hiring process:An introductory call with a member of our Talent team.A technical screen and meeting with the Hiring Manager.A coding interview conducted in a collaborative, pair programming format.A panel interview including multiple members of the Engineering Team.A final interview with a member of our Engineering Leadership Team.Who we areAt dbt Labs, we have developed strong opinions on how companies should practice analytics.Specifically, we believe that:Code-based transformations offer unmatched flexibility and transparency across various "multi-player" development to power everyone in the organization to collaborate on a common language.Data analysts should adopt similar practices and tools to software developers.Critical analytics infrastructure should be controlled by its users as open source software.Analytic code itself—not just analytics tools—will increasingly be open source.It turns out that a lot of other people believe this too! Today, there are 30,000 companies using dbt every week, 100,000 dbt Community members, and 4,100 companies paying for dbt Cloud. Our customers include JetBlue, Hubspot, Vodafone New Zealand, and Dunelm. dbt is synonymous with the practice of analytics engineering, defining an entire industry. We're backed by top investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.dbt Labs is an equal opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, color, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. We feel strongly that whether or not your experience exactly fits the job description, your passion and skills will stand out and set you apart even if your career has taken some twists and turns. If you are on the fence about whether you meet our requirements, we encourage you to apply anyway!
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