dbt Labs
Data AI · Data transformation
Data AI · Data transformation
Currently tracking 3 active AI roles, down 43% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $180k–$250k (avg $214k).
dbt Labs currently has 3 active AI-related roles in our index. The most common open titles are: Staff Software Engineer (2), Staff Product Manager- Developer Experience. Most positions are in Engineering and Product.
dbt Labs's active AI hiring is concentrated in: agents (100%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
dbt Labs is hiring AI talent in: India (2 roles), United States (1 role).
Job postings at dbt Labs most frequently reference: agent orchestration, agent research, tool use, llm observability, guardrails.
| Title | Stage | AI score |
|---|---|---|
| Staff Product Manager- Developer Experience Product Manager for Developer Experience at dbt Labs, focusing on AI-assisted development tools like the Developer Agent, Studio IDE, Cloud CLI, and VS Code Extension. The role involves owning the roadmap, partnering with the Fusion team, leading AI-native product development, and driving IDE strategy in collaboration with engineering, design, and GTM teams. Success is measured by developer satisfaction, engagement, and the success of the Developer Agent as a product. | Agent | 7 |
| Product Manager - Fusion Product Manager for dbt Labs' Fusion roadmap, focusing on net-new functionality that identifies and monetizes local deployments of dbt, shipping features that integrate with the dbt platform and drive product-led growth. This role involves defining requirements, collaborating with engineering, and contributing to codebases. | — |
| 5 |
| Senior Customer Solutions Engineer - US 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. | — | 5 |
| Solutions Architect, Commercial This role is a Solutions Architect for dbt Labs, a company focused on analytics engineering and data transformation. The Solutions Architect will help prospects understand the value of dbt Cloud, lead technical discussions, and demonstrate how the platform meets customer needs. The role involves pre-sales activities, consulting with customers, delivering demos, collaborating with account executives, and contributing to internal process improvements and product feedback. While the company leverages AI and its product supports AI use cases, the Solutions Architect role itself is not directly building or researching AI models. | — | 5 |
| Customer Solutions Architect (Austin) dbt Labs is seeking a Customer Solutions Architect to help customers maximize value from their dbt Cloud deployment, focusing on driving customer satisfaction, renewal, and expansion. The role involves monitoring customer accounts, leading technical discussions, showcasing dbt Cloud's capabilities, and acting as the voice of the customer to product teams. This is a post-sales role requiring a strong technical background in data warehousing and SQL, with experience in customer-facing roles. | — | 5 |
| Senior Instructional Designer This role is for a Senior Instructional Designer at dbt Labs, focused on creating learning experiences for sales and go-to-market teams. The responsibilities include designing and developing various learning content formats, partnering with subject matter experts, and managing content within an LMS. The ideal candidate has 5+ years of instructional design experience, proficiency in Articulate Rise, and experience with microvideo production. Familiarity with sales processes and supporting sales enablement is a plus. | — | 0 |
| Senior Onboarding Manager This role is for a Senior Onboarding Manager at dbt Labs, a company focused on analytics engineering and data transformation. The role involves managing the onboarding process for large and strategic customers, ensuring early adoption and time-to-value. It requires strong project management, customer-centricity, technical curiosity, and cross-functional collaboration skills. While the company mentions AI use cases and AI-powered data engineering, this specific role is focused on customer onboarding and services, not direct AI/ML development. | — | 0 |
| Senior Technical Instructor (EMEA) 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. | — | 0 |
| Enterprise Sales Director (PNW) This is an Enterprise Sales Director role for dbt Labs, a company that provides an analytics engineering platform used for data transformations and AI use cases. The role focuses on building the enterprise customer base in the Pacific Northwest, managing the full sales cycle, organizing POCs, and contributing to the product roadmap. The company has surpassed $100 million in ARR and is backed by major investors. | — | 0 |
| Senior Platform Software Engineer, Transport 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. | — | 0 |
| Majors Sales Director (Bay) This is a sales role for a Majors Sales Director at dbt Labs, a company focused on analytics engineering and data transformation. While the company mentions AI use cases and AI changing data work, the role itself is not directly involved in building or researching AI/ML models. The primary focus is on sales, managing the sales cycle, and driving business with strategic customers. | — | 0 |
| Senior Customer Solutions Resident Architect 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. | — | 0 |
| Majors Sales Director (NYC) This role is for a Majors Sales Director at dbt Labs, a company focused on data transformation and the modern data stack, which supports AI use cases. The role involves building strategic customer relationships in the NYC Metro area, managing complex sales cycles, and driving adoption of dbt Cloud Enterprise. While the company leverages AI and its product enables AI use cases, this specific role is in sales and does not involve building or researching AI/ML models. | — | 0 |
| Customer Sales Director (Austin, TX) This role is for a Customer Sales Director at dbt Labs, a company focused on analytics engineering and data transformation. The role involves managing and growing a portfolio of commercial and enterprise customer accounts, focusing on retention and expansion. While the company mentions AI use cases and AI-powered data engineering, the core responsibilities of this role are in SaaS sales and account management, not in building or researching AI/ML models. | — | 0 |
| Enterprise Sales Director (North Central) This role is for an Enterprise Sales Director at dbt Labs, a company that provides an analytics engineering platform used for data transformations and AI use cases. The role focuses on building the enterprise customer base in a specific region, managing the full sales cycle, and organizing POC implementations. While the company leverages AI and its platform supports AI use cases, this specific role is in sales and does not involve building or researching AI models. | — | 0 |
| Sales Development Representative (Austin, TX) This role is for a Sales Development Representative at dbt Labs, a company that provides a platform for data transformations and AI use cases. The role focuses on handling inbound leads, defining outbound strategies, and becoming an expert in SQL and dbt. The company emphasizes reliable, high-quality data as fuel for AI-powered data engineering and positions its platform as a data control plane for enterprise teams to stay ahead of AI changes. | — | 0 |
| Majors Sales Director (Boston) dbt Labs is seeking a Majors Sales Director to build out their strategic customer base in the Northeast region. This role involves owning the full sales cycle for enterprise prospects, organizing POC implementations of dbt Cloud Enterprise, and winning new customers. The position also requires contributing to sales process development, working with product on the roadmap, and becoming an expert in SQL, dbt, and enterprise data operations. | — | 0 |
| Commercial Account Executive (Austin) This role is for a Commercial Account Executive at dbt Labs, a company focused on analytics engineering and data transformation. The role involves owning the full sales cycle, organizing POCs, contributing to sales process development, and working with product on the roadmap. It requires experience in technology sales, understanding technical concepts, and strong communication skills. Prior experience in analytics, ETL, BI, or open-source software is a plus. | — | 0 |