Senior Software Engineer II Position Available In Montgomery, Pennsylvania

Job Description:

dbt Labs is the pioneer of analytics engineering, helping datateams transform raw data into reliable, actionable insights. Since2016, we’ve grown from an open source project into the leadinganalytics engineering platform, now used by over 50,000 teams everyweek. As of February 2025, we’ve surpassed $100 million in annualrecurring revenue (ARR) and serve more than 5,400 dbt Cloudcustomers, including JetBlue, HubSpot, Vodafone New Zealand, andDunelm. We’re backed by top-tier investors including AndreessenHorowitz, Sequoia Capital, and Altimeter. At our core, we believein empowering data practitioners:

• Code-based data transformationsunlock transparency, flexibility, and collaboration
• Analystsshould adopt software engineering best practices to build trusteddata products
• Core analytics infrastructure should be open sourceand user-controlled
• Analytic code—not just tools—should be sharedand community-driven dbt is now synonymous with analyticsengineering, defining the modern data stack and serving as the datacontrol plane for enterprise teams around the world.

And we’re justgetting started. We’re growing fast and building a team ofpassionate, curious people across the globe. Learn more about whatmakes us special by checking out our values. About the Role We areseeking a seasoned Full stack Software Engineer to join our growingAI team, focused on enabling powerful, intuitive AI interactionswith language models. This role is an exciting opportunity to workon cutting-edge internal tools that empower our engineers andaccelerate innovation across the company. You’ll play a key role inbuilding AI-driven features, developing connectors for AI agents tointeract with dbt models, and creating AI-compatible softwaresystems that automate and enhance workflows. If you thrive at theintersection of software engineering and applied AI, this is therole for you. What Youll Do

• Design, build, and maintain backendsystems that enable AI tooling and workflows for internal use.
• Integrate with LLM platforms such as OpenAI, Claude, and Gemini,using APIs to power real-time interactions and automation.
• Develop tools for LLM evaluations, as well as monitoring andobservability frameworks to ensure reliable AI behavior.
• Collaborate with AI researchers, product teams, and internaldevelopers to create scalable and safe AI integrations.
• Contribute to internal infrastructure that supports the future ofAI features at dbt Labs.
• (Future scope) Writeperformance-critical modules or components in Rust as needs arise.

Who You Are

• You’re a full stack engineer with several years ofexperience building production-grade systems.
• You have deepexpertise in Python and ideally exposure to Rust or a strongwillingness to learn it.
• You’ve worked extensively with LLM APIsor SDKs (e.g., OpenAI, Anthropic Claude, Gemini), and know how tointegrate and monitor their behavior in real-world applications.
• Youre comfortable writing evaluation frameworks, setting upmonitoring and logging, and adapting to rapidly evolving AItooling.
• Experience mentoring engineers and collaborating infast-paced, cross-functional teams is a strong plus.
• You areexcited to shape the future of AI at dbt

Labs Compensation &Benefits Salary:

We offer competitive compensation packagescommensurate with experience, including salary, equity, and whereapplicable, performance-based pay. Our Talent Acquisition Team cananswer questions around dbt Labs total rewards during yourinterview process. In select locations (including Boston, Chicago,Denver, Los Angeles, Philadelphia, New York City, San Francisco,Washington, DC, and Seattle), an alternate range may apply, asspecified below.

• The typical starting salary range for this roleis: $172,000
• $207,900 USD
• The typical starting salary range forthis role in the select locations listed is: $191,000
• $231,000 USBenefits
• dbt Labs offers o Unlimited vacation (and yes we useit!

) o 401k w/3% guaranteed contribution o Excellent healthcare oPaid Parental Leave o Wellness stipend o Home office stipend, andmore!