Senior Software Engineer, AI (Backend)

Brazil - Remote

dbt Labs

Use dbt to build reliable data models quickly and collaboratively—featuring version control, automated documentation, and integrated testing.

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About Us

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.  

dbt 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 highly focused, innovative team that is passionate about AI.
  • Partner with product managers and designers to develop AI-powered experiences across dbt Cloud.
  • Shape and define AI-driven user experiences in collaboration with other teams.
  • Interact directly with dbt Cloud users to gather feedback and iterate on solutions.
  • Lead and champion AI initiatives, ensuring AI adoption across the platform.
  • Innovate and experiment with cutting-edge AI techniques to create practical solutions for real-world data challenges.

You are a good fit if you have:

  • Experience in working remotely as part of a distributed team.
  • A strong passion for solving customer problems using AI-driven approaches.
  • Expertise in building AI systems, with a focus on LLMs or similar technologies.
  • A solid understanding of balancing speed with quality, delivering effective solutions without compromising long-term vision.
  • Proven experience with web frameworks to develop full-stack applications at scale.
  • A strong background in building APIs and large-scale distributed systems.
  • Excellent written and verbal communication skills in English.

You'll have an edge if you have:

  • Have experience using dbt or understand its role in analytics engineering.
  • Have worked on AI projects that directly impact end-users in product-focused environments.
  • Can demonstrate a passion for data and analytics engineering.

Qualifications:

  • Have 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

Compensation & Benefits

  • Salary: 327,000 - 443,000 BRL per year
  • Equity Stake
  • Benefits (via Remote.com):
    • Unlimited vacation (and yes we use it!)
    • Paid Parental Leave
    • Wellness stipend
    • Home 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

#LI_RC1

Who we are

At 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! Please reach out to us directly at recruiting@dbtlabs.com if you need assistance or an accommodation

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page here

dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.

 

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Tags: APIs Computer Science dbt Distributed Systems Engineering HubSpot LLMs Open Source Privacy

Perks/benefits: Career development Competitive pay Equity / stock options Home office stipend Parental leave Transparency Unlimited paid time off Wellness

Regions: Remote/Anywhere South America
Country: Brazil

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