Manager for the AI Platform Team, responsible for building the Agentic Platform that powers internal AI features and external AI integrations. The role involves architecting the "Agent-First" Experience, defining dbt MCP Strategy, and bridging platform and product for agentic use cases. Requires experience in people management, agentic architectures, APIs, and software engineering fundamentals in an AI context.

This role is for a Senior Customer Solutions Engineer at dbt Labs, a company focused on data transformation and the analytics engineering platform. The role involves troubleshooting complex technical issues for customers using dbt, SQL, and cloud data platforms. While the company mentions AI use cases and the importance of data for AI, the core responsibilities of this role are customer-facing technical support and problem-solving, not direct AI/ML model development or research. The role requires strong technical troubleshooting, communication, and escalation skills within a SaaS environment.

Senior Data Engineer at dbt Labs responsible for building and maintaining the core data platform infrastructure that powers internal analytics and data products. This includes owning the data lakehouse architecture, transforming and serving data, establishing data contracts, driving platform architecture decisions, enhancing observability, and partnering cross-functionally. The role also involves dogfooding new data infrastructure and AI technology.

Partner Solutions Architect for dbt Labs in Japan, focusing on building technical and commercial momentum with consulting and technology partners to drive pipeline and adoption of dbt's data platform, particularly for AI use cases. This role involves enabling partner teams, supporting joint GTM plans, and acting as a technical bridge between partners and dbt's product/engineering teams.

Partner Solutions Architect at dbt Labs, focused on building technical and commercial momentum with consulting and technology partners to scale dbt's partner go-to-market motion. This role involves enabling partner sellers and architects, supporting pipeline generation, and influencing product strategy based on market feedback, with a focus on AI-ready data foundations and AI-oriented workflows.

Staff Software Engineer to architect and build the durable memory substrate for agentic analytics workflows, storing and exposing organizational decision memory (meaning, intent, rationale, history) for humans, agents, and applications. This greenfield role focuses on building the core Context Platform, designing Decision Memory schemas, owning context storage systems (graph, vector, time-based), building read/write/query APIs, and ensuring permission-aware, auditable, interoperable, and portable context access.

This role is for a Senior Technical Instructor at dbt Labs, focusing on teaching enterprise customers and partners how to use dbt for data transformations and AI use cases. The instructor will deliver live training, create engaging learning environments, and provide feedback to improve curriculum. The role requires experience in data analytics and teaching, with a strong focus on learner outcomes and collaboration.

Senior Platform Engineer specializing in Storage Services to build a seamless, reliable platform for dbt Cloud across AWS, Azure, and GCP. The role focuses on automation, self-service, and improving developer velocity through better tooling, processes, and infrastructure design, specifically refining and scaling storage platform components.

dbt Labs is seeking a Senior Software Engineer to join their Semantic Layer team in Bangalore. This role will focus on designing, building, and maintaining core features of MetricFlow, their open-source semantic engine. Responsibilities include owning the open-source project, collaborating with other engineering teams, improving performance and reliability, and translating feedback into improvements. The ideal candidate has strong Python and SQL skills, experience with systems involving parsing or compilation, and excellent communication abilities. Experience with open-source projects, data warehousing, or semantic layers is a plus.

Staff Software Engineer at dbt Labs to join the Semantic Layer team. The role involves designing, building, and maintaining core features of MetricFlow, an open-source semantic engine. Responsibilities include owning the open-source project, collaborating with other teams, improving performance and reliability, and partnering with product and developer-relations. Requires strong Python and SQL skills, experience with systems involving parsing/compilation/transformation, and solid software design principles. Nice-to-haves include open-source contribution experience, familiarity with semantic layer technologies, and data warehousing internals.

This role is for a Senior Engineering Manager at dbt Labs, a company focused on analytics engineering and data transformation. The manager will lead a team responsible for building and maintaining the company's cloud infrastructure across AWS, Azure, and GCP, ensuring a seamless, reliable, and observable platform for their customers. The role involves people management, strategic decision-making, cross-functional collaboration, and driving infrastructure projects to improve developer velocity and customer experience.

dbt Labs is seeking a Senior Platform Software Engineer to join their Transport team, focusing on building and operating foundational platform infrastructure for their cloud services. This role involves architecting and developing components for service routing, cloud networking, and customer migration tooling within a multi-cell architecture. The engineer will write backend services in Go and Python, automate infrastructure using tools like Kubernetes and Terraform, and collaborate with various teams. The role emphasizes ownership, troubleshooting complex distributed systems, and contributing to a scalable, reliable platform that supports AI use cases.

Senior Software Engineer II at dbt Labs, a company focused on data transformation and analytics engineering. The role involves building and maintaining scalable services and APIs for the dbt platform, supporting data transformations and AI use cases. Emphasis on reliability, scalability, security, and API design.

This role is for a Senior Customer Solutions Resident Architect at dbt Labs, a company focused on analytics engineering and data transformation. The role involves providing technical guidance to strategic accounts, supporting pre-sales, accelerating customer adoption of dbt Cloud, and mitigating churn risks. Responsibilities include advising on architecture, building solution MVPs, and collaborating with internal teams. The ideal candidate has 5+ years of technical customer-facing experience, expertise in cloud data platforms, and dbt Cloud experience.

Staff Software Engineer for dbt Labs' Quality and Release Platform (QARP) team. This role will lead the technical direction of platforms for building, testing, and shipping software, focusing on release engineering and code quality. The engineer will architect and scale deployment systems using tools like Helm, ArgoCD, Terraform, Python, and GitHub Actions. A key responsibility is serving as a thought leader in the company's internal AI strategy for developers, evaluating AI tools, defining adoption practices, and establishing guardrails. The role requires significant experience in platform, infrastructure, release engineering, or developer tooling, with a strong background in Python, Go, or Rust, and experience with CI/CD and code quality systems. Experience with AI-assisted development tools and practices is also highlighted.

Senior Software Engineer II role at dbt Labs, focusing on building essential platform features like telemetry ingestion, authorization, and infrastructure-as-code integrations for their SaaS offering. The role involves evolving architecture, developing robust software frameworks, and collaborating with product teams to deliver scalable solutions for a growing customer base. Experience with Python, Rust, or Go, SaaS products, and distributed systems is required.

This role is for a Senior Infrastructure Engineer at dbt Labs, focusing on building and operating a seamless, reliable, and observable multi-cloud platform (AWS, Azure, GCP). The engineer will work on refining the platform, ensuring performance and reliability, and improving developer velocity through automation, tooling, and infrastructure design. Key responsibilities include designing and operating infrastructure systems across different tenancy models and cloud providers, bringing cloud infrastructure expertise, creating a great developer experience, leveraging tools like Terraform, Kubernetes, Python, and DataDog, building automation to eliminate toil, and optimizing cloud spend. The role requires experience with cloud providers, IaC (Terraform), Kubernetes, Python, and Bash, with a preference for multi-cloud and extensive Kubernetes administration experience. The company emphasizes empowering data practitioners and enabling AI use cases through reliable data infrastructure.

Senior Software Engineer II role at dbt Labs, focusing on building and shipping full-stack products for data teams, including a visual data modeling tool with a new Fusion engine. The role emphasizes speed, autonomy, and customer impact within a remote, distributed team.

dbt Labs is seeking a Staff Software Engineer to join their dbt Fusion team, focusing on building the next generation of data execution and connectivity infrastructure. The role involves designing and shipping core abstractions for how dbt communicates with execution systems, leveraging Rust, Go, and Arrow. This is a foundational platform role with a strong emphasis on systems programming, database internals, and open-source development.