About the Team

You'll lead the AI Platform Team, the engine room for agentic workflows at dbt Labs. This team doesn't just build features; it builds the Agentic Platform that powers both our internal AI features and external AI integrations.

In this role, you can expect to:

• Build, lead, and coach a team of 5–8 engineers focused on building a robust, scalable platform for AI agents.
• Architect the "Agent-First" Experience: Move dbt beyond a UI-driven tool by building the APIs and services required for agents to reason, plan, and execute within the dbt ecosystem.
• Define dbt’s MCP Strategy: Lead the development of dbt MCP tools that allow Claude, Codex, and other LLMs to fetch context, validate SQL, and understand metrics without leaving their development environment.
• Bridge Platform and Product: Partner with product teams to ensure that the AI Platform provides the necessary primitives (memory, tool-calling, and reasoning loops) for dbt’s specific agentic use cases.
• Coach engineers in building "Agent-ready" codebases—focusing on deterministic outputs from a non-deterministic world and the nuances of tool-use optimization.
• Drive Technical Excellence: Establish the standards for how agents should interact with dbt Cloud, ensuring security, governance, and auditability are never compromised for autonomy.

Mandatory Skills

• 3+ years in people management leading high-performing software engineering teams.
• Experience with Agentic Architectures: You understand the lifecycle of an agentic loop (Plan -> Act -> Observe) and how to build infrastructure that supports it.
• Technical Breadth in APIs & Protocols: Deep experience with API design, and ideally, familiarity with emerging standards like MCP (Model Context Protocol) or OpenAI Function Calling.
• Software Engineering Fundamentals: You have a strong POV on how to maintain dbt’s "Analytics Engineering" rigors (testing, CI/CD) in an AI-driven world.

You are a good fit if you have:

• A passion for Developer Tools: You understand the workflow of a data engineer and how tools like Claude Code or Codex are changing that workflow.
• Experience with Orchestration: You’ve built systems that manage state and context for LLMs.
• Strategic Collaboration: You can partner with external AI labs and internal teams to ensure dbt is the preferred "data context" layer for all major LLMs.

You’ll have an edge if you have:

• Direct experience building or contributing to MCP servers.
• Experience in the "Modern Data Stack": You understand the importance of the dbt Semantic Layer and how it acts as a "source of truth" for AI.
• Excellent written communication skills: Essential for a remote-first culture and for documenting the "rules of engagement" for AI agents.

Compensation & Benefits

• The typical starting salary range for this role is: $186,000 - $225,000 USD
• The typical starting salary range for this role in the select locations listed is: $206,000 - $250,000 US

• Unlimited vacation (and yes we use it!)
• 401k w/3% guaranteed contribution
• Excellent healthcare
• Paid Parental Leave
• Wellness stipend
• Home office stipend, and more!

Our Hiring Process (All Video Interviews)

• Interview with a Talent Acquisition Partner (30 Mins)
• Technical Interview with Hiring Manager (60 Mins)
• Team Interviews ( 4 rounds, 45 Mins each)

If you’re passionate about building well-designed, high-impact software, we’d love to hear from you!

Location: Remote - Candidates must be located in either Ireland or Germany to be considered for this position. 

About the Role

We’re seeking an experienced Sr. Technical Instructor with a passion for teaching and working with data to join our training team to setup Enterprise customers and partners for success with dbt to empower data developers to create and disseminate organisational knowledge.

What You'll Do

• Deliver live, world-class instruction to train and onboard dbt Cloud customers, partners, and GSIs in small (~10), large groups (up to ~30) and webinar audiences (50 - 200)
• Create an engaging learning environment initially in a remote context (on Zoom!) and likely in person in the future
• Get learners excited about using dbt Cloud to make an impact at their organization
• Clearly teach and demo new concepts and skills for learners
• Facilitate live co-development sessions where learners apply what they have learned
• Adjust instruction on the fly while focusing on learner outcomes
• Provide critical feedback from your classroom experience to improve curriculum changes
• Become a product expert with dbt in the context of the modern data stack (if you aren’t already)
• Jump in on other education projects including curriculum development and improving our workflows

What You'll Need

• You have 4+ years experience teaching with some data analytics experience OR 4+ years of data analytics experience with some teaching
• You have experience writing SQL in an analytics context
• You love teaching and creating those lightbulb moments for learners
• You create learning environments with high levels of engagement
• You are laser focused on learner and customer outcomes while adjusting instruction on the fly - our customers are coming to use our product from varied tooling and skillsets
• You believe teaching is a craft that we can always get better at and actively seek out feedback
• You communicate clearly and concisely with internal and external stakeholders
• You thrive in an environment of cross-collaboration that moves quickly

What Will Make You Stand Out

• You have worked on customer education / training teams and know how training can drive outcomes for customers.
• You have experience using dbt and/or teaching dbt.
• You have experience writing analytics code (i.e. python, R, etc.) in addition to SQL and working with databases
• You have experience designing curricula with a focus on backwards design.

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. 

• The typical starting salary range for this role in Ireland is: €79,000 - €96,000 
• The typical starting salary range for this role in Germany is: €92,000 - €111,000
  

Benefits

• Unlimited vacation, with a culture that encourages time off and guarantees at least 4 weeks’ paid leave in line with Irish law
• Healthcare: Coverage provided through Irish Life Health and DeCare, including medical, dental, and vision for you and your eligible dependents
• Life & Disability Protection: Long-term disability and death-in-service benefits included
• Pension: Employer contributions through our Personal Retirement Savings Program (PRSA)
• Generous paid parental leave for all parents, with additional time for birthing parents
• TaxSaver & Bike to Work Schemes for commuting flexibility and savings
• Paid medical, caregiver, and pregnancy loss leave to support life’s unexpected moments
• Flexible stipends for:
  • Health & wellness
  • Cellphone & internet
  • Home office setup
  • Learning & development

What to expect in the hiring process (all video interviews unless accommodations are needed):

• Interview with a Talent Acquisition Partner
• Interview with Hiring Manager (Technical Instructor Manager)
• After that we’ll ask you to live teach a 15 minute lesson to see your teaching in action
• Team interviews with current instructors and our Head of Training
  
  #LI-LC1

About the role

We're hiring a Product Manager to lead the Fusion roadmap — the future of dbt Labs' intellectual property and a critical driver of product-led growth. You will own net-new functionality in Fusion that identifies and monetizes local deployments of dbt, shipping net new features, many of which also land in dbt Core, as well as proprietary ELv2 plugins that integrate seamlessly with the dbt platform.

This role is co-located with our Fusion engineering team in the US to accelerate execution, strengthen prioritization, and ensure tight alignment across product, engineering, and platform teams. You'll bridge open source product strategy with technical delivery and business impact, translating strategic investments into shipped features that drive the Fusion PLG motion.

In this role, you will

• Own and deliver the Fusion roadmap, shipping net new functionality to Fusion like SQL comprehension, compute, governance, and SAO
• Define requirements for Fusion features that integrate seamlessly with the dbt platform and unlock enterprise value
• Keep the Fusion engineering team aligned, unblocked, and executing on a predictable cadence
• Contribute hands-on to the dbt Core / Fusion codebases, including code reviews, documentation, and small feature implementations
• Collaborate with OSS strategy leads, platform PM peers, and cross-functional stakeholders to deliver a unified roadmap

What success looks like

• Shipping net-new Fusion features on a predictable quarterly cadence
• Measurable contribution to Fusion PLG growth metrics, including identification and monetization of local dbt deployments
• Hands-on contributions to dbt Core and Fusion code bases, including merged PRs and meaningful improvements to the open source codebase
• Strong execution and alignment across the Fusion engineering team

You're a good fit if you have

• 5+ years of product management experience in technical domains such as developer tooling, data platforms, or open source software
• Strong grasp of system architectures, particularly for local deployments and how they scale to enterprise use cases
• Understanding of how open source investments drive PLG growth and product strategy
• Ability to bridge technical delivery with business impact, translating features into revenue and growth metrics
• Experience working with engineering teams to define, prioritize, and ship complex technical features
• Strong communication skills with empathy for open source contributors and enterprise users alike

Nice to have

• Hands-on experience with dbt or similar transformation frameworks
• Background in plugin architectures, extensibility systems, or platform ecosystems
• Understanding of PLG motions and freemium-to-paid conversion strategies
• Experience with SQL engines, query optimization, or compute systems
• Prior experience as an engineer whose worked with modern development frameworks (examples: React, Typescript, Python, etc.)

Compensation & Benefits

• Salary: 174,000 - 248,000 USD per year
• Equity Stake (RSUs)
• Benefits - dbt Labs offers:
  • Unlimited PTO (and we encourage you to use it!)
  • 401k with a 3% guaranteed contribution
  • Excellent healthcare coverage
  • Paid parental leave
  • Wellness and home office stipends

Our Hiring Process (All Video Interviews)

• Introductory call with a Talent Acquisition Partner
• Technical Interview with Hiring Manager
• Team Interviews
• Final conversation with leadership

As a Senior Data Engineer at dbt Labs, you'll build and maintain the core data platform infrastructure that powers our internal analytics and data products. You'll own the platform that makes data trustworthy at every layer — from the contracts that govern how it lands, to the infrastructure that stores, transforms, and delivers it across the business. This role is a part of a tight-knit, strategic team that combines strong technical execution with a bias for impact and cross-functional influence.

This is a unique opportunity to work on infrastructure that sits at the center of how dbt Labs runs as a business — with executive visibility, deep cross-functional reach, and the added dimension of dogfooding the very products we build. If you're excited by the challenge of solving hard platform problems with cutting-edge tooling and making a direct, lasting impact on company growth, this role is for you.

In this role, you can expect to:

• Own the architecture and operations of our data lakehouse, including object storage, table formats, maintenance, and query engine integrations
• Build and maintain the infrastructure layer that transforms and serves data reliably at scale—from raw landing zones through to curated, queryable datasets
• Partner with product engineering to establish data contracts and schema standards around event telemetry, ensuring data arrives in the lakehouse in a form that's reliable and ready for downstream use
• Drive decisions on data platform architecture, tooling, and engineering best practices across storage, compute, and access layers
• Enhance observability and monitoring of data infrastructure, including pipeline reliability, data freshness, and system performance
• Partner cross-functionally with teams across Analytics, Infrastructure, and Product to understand data needs and deliver impactful platform solutions
• Provide product feedback by dogfooding new data infrastructure and AI technology

You're a great fit if you have:

• Expert-level SQL and Python skills
• 5+ years of experience as a data engineer, and 8+ years of total experience in software engineering (including data engineering roles)
• Strong knowledge of data lakehouse architecture, including storage layer design, table formats, and compute/query engine integration
• Experience defining and enforcing data contracts or schema standards in collaboration with upstream engineering teams
• Hands-on experience with modern orchestration tools like Airflow, Dagster, or Prefect
• Working knowledge of cloud infrastructure tooling, including Terraform, Helm, and Kubernetes
• Hands-on experience running Apache Spark in production, including job tuning, cluster sizing, and managing failures at scale
• A bias for action—able to stay focused and prioritize effectively in an ambiguous environment

You'll stand out if you have:

• Experience developing and scaling dbt projects
• Hands-on experience with Apache Iceberg or other open table formats in production, including multi-region or multi-cloud deployments
• Experience designing platform infrastructure that serves multiple downstream teams and use cases
• Experience working in a SaaS or high-growth tech environment

Remote Hiring Process:

• Interview with a Talent Acquisition Partner
• Interview with Hiring Manager
• Team Interviews
• Final wrap up/ values discussion with Data Leader

Compensation:

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview 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, as specified below.

• The typical starting salary range for this role is: 
  
  • $147,000 - $178,000
• The typical starting salary range for this role in the select locations listed is:
  • $163,000 - $198,000

Benefits:

• Unlimited vacation time with a culture that actively encourages time off
• 401k plan with 3% guaranteed company contribution
• Comprehensive healthcare coverage
• Generous paid parental leave
• Flexible stipends for:
  • Health & Wellness
  • Home Office Setup
  • Cell Phone & Internet
  • Learning & Development
  • Office Space

Location: Remote, US

About the Role

We are seeking an experienced Senior Customer Solutions Resident Architects to join our team. In this role, you will drive critical customer outcomes by delivering high-impact technical guidance to strategic accounts. You will be part of a high-visibility initiative that supports pre-sales, accelerates adoption, enables key migrations, and mitigates churn risks.

This role is designed to deploy RA-level expertise flexibly, aligning with customer and business needs to drive growth, retention, and expansion.

What You'll Do

• Accelerate Customer Success Across the Lifecycle
  • Support strategic pre-sales opportunities by providing technical expertise to prospects
  • Assist in launching and onboarding new customers who have not purchased RA services, ensuring they successfully adopt dbt Cloud
  • Execute proactive adoption plays, including migrations, new feature implementations (e.g., Semantic Layer, Mesh), and major version upgrades
  • Lead reactive adoption initiatives to de-risk churn or contraction and position accounts for future growth
• Deliver Technical Excellence
  • Advise on architecture, design, implementation, troubleshooting, and best practices in dbt Cloud environments
  • Build solution MVPs and guide long-term technical strategies tailored to customer needs
  • Engage on multiple projects simultaneously with clear scoping, start and end dates, and outcome tracking
• Collaborate Across Teams
  • Partner closely with Customer Solutions Architects (CSAs), Sales, Solutions Architects, Training, and Support
  • Provide feedback to Product and Engineering to improve customer experience and prioritize technical needs
  • Champion customer success through thoughtful, transparent communication and cross-functional collaboration
• Advance Best Practices and Team Impact
  • Help build out and refine this evolving function alongside the broader RA organization
  • Track and manage capacity and engagement effectiveness similarly to other RA-led initiatives

What You'll Need

• 5+ years of experience in technical customer-facing roles such as post-sales consulting, technical architecture, or solution delivery
• Expertise with at least one modern cloud data platform (Snowflake, Databricks, BigQuery, or Redshift)
• Hands-on experience deploying or configuring dbt Cloud, with at least 1 year working with dbt
• Strong proficiency in SQL; working knowledge of Python in analytics contexts preferred
• Comfort leading technical project delivery — managing scope, timelines, and stakeholder expectations across multiple simultaneous engagements
• Clear, concise communication skills for both technical and executive audiences
• A collaborative mindset — thriving in a remote, transparent, and highly cross-functional organization
• Willingness to travel 2–4 times per year for company-wide events

What Will Make You Stand Out

• dbt Analytics Engineering Certification
• Ability to influence technical direction and build consensus across internal and customer teams
• Experience with traditional enterprise ETL tools (e.g., Informatica, Datastage, Talend) and how they relate to modern data workflows
• Familiarity with strategic sales or renewal processes, including proactive and reactive adoption efforts
• Proven success accelerating usage, adoption, and expansion in large, complex accounts

Remote Hiring Process

• Interview with a Talent Acquisition Partner 
• Interview with Hiring Manager
• Interview with peer
• Task Presentation
• Interview with cross-functional partner

Benefits

• Unlimited vacation time with a culture that actively encourages time off
• 401k plan with 3% guaranteed company contribution
• Comprehensive healthcare coverage
• Generous paid parental leave
• Health & wellness stipend
• Flexible stipends for:
  • Home office setup
  • Learning and development
  • Office space
  • And more!

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process.

In Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, and Austin, an alternate range may apply, as specified below.

• The typical starting salary range for this role is: $149,000 - $180,000 
• The typical starting salary range for this role in the specific locations listed is: $165,000 - $200,000

The Opportunity

At dbt Labs, data is the product, the language, and the mission. As our GTM Automation Engineer, you'll be the architect behind improving the productivity of our GTM organization through AI-powered and AI-assisted GTM workflows. This is a high-impact, high-agency role sitting at the intersection of engineering, automation, and go-to-market strategy, directly influencing revenue performance, sales productivity, pipeline generation, and conversion rates. 

You'll partner with senior GTM leadership and GTM Operations to build the AI-powered infrastructure that defines how dbt Labs goes to market. You'll own the full lifecycle: uncovering inefficiencies, defining what "better" looks like, designing the solution, and building, shipping, and iterating. This role is ideal for someone who thinks like a sales leader, works like a product manager and builds like an engineer, and who wants their work to directly move the needle on revenue growth.

In this role you can expect to:

• Design, implement, and scale the initial Go-to-Market (GTM) AI program, developing complex AI capabilities and agents that automate GTM use cases and workflows to materially improve productivity and scalability.
• Build and deploy AI agents that reduce manual data entry and enable more sophisticated, scalable outbound personalization.
• Create and launch programs that enable the broader GTM organization to increase its understanding and adoption of AI tools and capabilities, driving wide-scale impact through high-value use cases.
• Implement AI-driven outbound programs using tools such as Clay, Glean, Claude, and LLM APIs to automate account research, data enrichment, and personalized outreach sequences in support of marketing pipeline goals.
• Partner directly with GTM operations leaders across Revenue Operations, Marketing Operations, Enablement, and related functions to develop a deep understanding of current processes, systems, and procedures, identify productivity opportunities, and apply AI to drive measurable operational and sales impact.
• Rapidly prototype AI solutions for manual processes, measure outcomes, and iterate to improve GTM funnel performance and conversion.
• Work with senior stakeholders across dbt Labs to identify strategic and organizational opportunities where AI can drive meaningful business uplift.

You are a good fit if you have:

• 3+ years leading or driving automation programs focused on AI automation.
• 8+ years of experience embedded in GTM Engineering, Marketing Operations, Revenue Operations, or similar teams, with a deep understanding of business operations and workflows and a strong track record of partnering with stakeholders at all levels of the organization.
• Prior experience building a new function or capability within an organization from the ground up.
• Demonstrated ability to independently identify complex organizational opportunities and design strategic, scalable solutions using AI automation.
• Hands-on experience applying AI and automation to GTM problems, with the ability to walk through concrete examples and business impact.
• Advanced experience with modern AI and automation tools such as Clay, n8n, Zapier, Gumloop, or GPT/Claude APIs.
• Experience with CRM and marketing platforms such as Salesforce, HubSpot, or Marketo.
• A strong understanding of the sales funnel and the business logic behind the data being moved and operationalized.
• Strong verbal and written communication skills, with the ability to influence both technical and non-technical stakeholders across a range of levels and functions.
• A bias toward action — you move from idea → experiment → solution quickly and thrive in ambiguity.

Location: Remote - Eastern Standard Timezone in the US

We’re seeking a Technical Instructor with a passion for teaching and working with data to join our training team to develop curriculum and deliver instruction focused on dbt.

What You'll Do

• Deliver live, world-class instruction to train and onboard dbt Cloud customers, partners, and GSIs in small (~10), large groups (up to ~30) and webinar audiences (50 - 200)
• Create an engaging learning environment initially in a remote context (on Zoom!) and likely in person in the future
• Get learners excited about using dbt Cloud to make an impact at their organization
• Clearly teach and demo new concepts and skills for learners
• Facilitate live co-development sessions where learners apply what they have learned
• Adjust instruction on the fly while focusing on learner outcomes
• Provide critical feedback from your classroom experience to improve curriculum changes
• Become a product expert with dbt in the context of the modern data stack (if you aren’t already)
• Build curriculum independently
• Gather and implement feedback and self-review teaching

What You'll Need

• Bachelor's degree in a related field (Computer Science, Data Analytics, Education, or similar).
• 2-4 years of technical instruction or related experience.
• You love teaching and creating those lightbulb moments for learners
• You create learning environments with high levels of engagement
• You are laser focused on learner and customer outcomes while adjusting instruction on the fly - our customers are coming to use our product from varied tooling and skillsets
• You believe teaching is a craft that we can always get better at and actively seek out feedback
• You communicate clearly and concisely with internal and external stakeholders
• You thrive in an environment of cross-collaboration that moves quickly
• You have experience developing curricula and shipping courses fast

What Will Make You Stand Out

• You have worked on customer education / training teams and know how training can drive outcomes for customers.
• You have experience using dbt and/or teaching dbt.
• You have experience writing analytics code (i.e. python, R, etc.) in addition to SQL and working with databases
• You have experience designing curricula with a focus on backwards design.
• dbt Fundamentals badge

Remote Hiring Process

• Interview with a Talent Acquisition Partner
• Interview with Hiring Manager (Technical Instructor Manager)
• After that we’ll ask you to live teach a 15 minute lesson to see your teaching in action
• Team interviews with current instructors and our VP, Customer Services

Benefits 

• Unlimited vacation time with a culture that actively encourages time off
• 401k plan with 3% guaranteed company contribution
• Comprehensive healthcare coverage
• Generous paid parental leave
• Flexible stipends for:
  • Health & Wellness
  • Home Office Setup
  • Cell Phone & Internet
  • Learning & Development
  • Office Space

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, Austin, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.

- The typical starting salary range for this role is:
$73,000 - $88,200 USD

- The typical starting salary range for this role in the select locations listed is:
$81,000 - $98,000 USD

#LI-LC1

About the Role

The way data practitioners write, debug, and ship dbt code is changing fast — and you'll be the person shaping what that experience looks like at the frontier of AI-assisted development.

As the Product Manager for Developer Experience, you will own the end-to-end developer workflow in dbt Cloud: the Studio IDE, Developer Agent (our AI coding assistant), the Cloud CLI, and the dbt VS Code Extension. Together, these surfaces are the primary daily touchpoint for tens of thousands of data practitioners worldwide — from seasoned analytics engineers writing complex SQL to newer practitioners who rely on AI to help them move faster and with more confidence.

This role sits at the intersection of developer tooling and leading-edge AI. You will work in close partnership with the Fusion team — the engine powering dbt's next-generation compilation, intelligence, and platform capabilities — to ensure that our developer surfaces fully leverage Fusion's capabilities and that developer needs are represented in the Fusion roadmap. The tight feedback loop between Developer Experience and Fusion is core to how dbt Cloud will evolve, and you'll be a key architect of that relationship.

This is a role for someone who has thought deeply about what makes IDEs and developer tools great, and who is excited to reimagine those workflows in an era where AI can lower the floor for new practitioners while raising the ceiling for experts.

In This Role, You Will

• Own the developer experience roadmap across Studio IDE, Developer Agent, Cloud CLI, and the VS Code Extension — from near-term iteration to long-term vision.
• Partner deeply with the Fusion team to align on capabilities, surface Fusion-powered intelligence (SQL comprehension, compute, context) through developer-facing UX, and co-define the boundary between platform and product.
• Lead AI-native product development for Developer Agent — defining what a best-in-class AI coding assistant looks like for the full spectrum of dbt users, from expert analytics engineers to practitioners who are newer to code. This includes agentic workflows, context-aware suggestions, natural language interactions, and guided development experiences that meet users where they are.
• Drive IDE and tooling strategy informed by a deep understanding of modern development environments — think about what VS Code, Cursor, and other leading IDEs get right, and translate those instincts to the dbt Cloud context.
• Define and execute cross-functional collaboration with engineering, design, and GTM teams to ship high-quality developer experiences on a predictable cadence.
• Build tight feedback loops with the dbt community and enterprise customers to continuously improve developer tools, with particular attention to power users and technical practitioners.
• Conduct market and user research to understand the competitive landscape for developer tooling and AI-assisted development, and bring sharp external perspective into the roadmap.
• Align developer experience investments to broader company goals, product-led growth metrics, and the Fusion platform strategy.

What Success Looks Like

• Developer satisfaction and engagement metrics (activation, session depth, feature adoption) trending up across Studio, Canvas, CLI, and Developer Agent.
• Developer Agent is a differentiated, well-regarded AI coding experience for data practitioners — not just a feature, but a product.
• The Studio IDE and Canvas deliver a cohesive, fast, and intelligent development workflow powered by Fusion capabilities.
• Strong, trust-based execution partnership with the Fusion team: shared roadmap visibility, clear API contracts, and coordinated shipping.
• The Cloud CLI is a first-class product that developers actively choose, not a fallback.

You're a Good Fit If You Have

• 5+ years of product management experience, with meaningful time spent on developer tools, IDEs, or technical platforms.
• Direct experience managing IDE or developer environment products — you have an informed point of view on what makes development tools excellent and where modern IDEs fall short.
• Demonstrated engagement with AI-powered development tools — you've used, studied, and formed strong opinions about AI coding assistants (Copilot, Cursor, Devin, etc.) and how they change the development experience.
• A strong technical foundation that allows you to work fluently with engineering partners, reason about system architecture, and contribute meaningfully to technical decisions.
• Experience conducting user research and translating developer feedback into prioritized, scoped product work.
• Excellent written and verbal communication — you can write a crisp spec, give a compelling demo, and synthesize complex tradeoffs for diverse audiences.
• Comfort working asynchronously as part of a distributed, remote team.

You'll Have an Edge If You Have

• Hands-on experience with dbt or similar SQL-first transformation frameworks.
• Prior experience building or shipping AI agent features (agentic UX, multi-step LLM workflows, context management).
• Familiarity with LSP (Language Server Protocol), tree-sitter, or other IDE infrastructure primitives.
• Experience with CLI tooling and developer workflow automation.
• Background in open source software development or strong engagement with developer communities.
• Knowledge of modern data warehouses (Snowflake, BigQuery, Databricks, Redshift, etc.) and the analytics engineering ecosystem.

Compensation & Benefits

• The typical starting salary range for this role is: $197,000 - $239,000 USD
• The typical starting salary range for this role in the select locations listed is: $219,000 - $266,000 US

• Unlimited vacation (and yes we use it!)
• 401k w/3% guaranteed contribution
• Excellent healthcare
• Paid Parental Leave
• Wellness stipend
• Home office stipend, and more!

Our Hiring Process (All Video Interviews)

• Interview with a Talent Acquisition Partner (30 Mins)
• Technical Interview with Hiring Manager (30 Mins)
• Team Interviews with Cross Collaborators ( 4 rounds, 45 Mins each)

dbt Labs is on a mission to help analysts create and disseminate organizational knowledge. As a Senior Customer Solutions Engineer, you’ll serve as a frontline problem solver, working deeply across our customer base to guide them through complex technical challenges with empathy, clarity, and precision. You’ll work at the intersection of technical troubleshooting, customer education, and internal escalation, and play a critical role in helping our users succeed with dbt.

What You’ll Be Responsible For:

• Diagnosing and resolving technically complex issues related to dbt, SQL queries, templating languages (Jinja/Liquid), and cloud data platforms.
• Clarifying customer goals and context before jumping into solutions — ensuring that any workaround or fix is anchored in what the customer truly needs.
• Root cause analysis — narrowing down issues quickly and precisely, resulting in faster time-to-resolution or high-quality escalation to engineering.
• Communication excellence — setting expectations, providing timely updates, and ensuring that even long-running cases resolve with high customer satisfaction.
• Bringing others along — explaining why something is happening, not just what’s happening, in a way that builds trust and shared understanding.
• Creating documentation and internal enablement material that help the broader team level up and improve efficiency across the support org.

Success Looks Like: 

• You understand how dbt fits into the modern data stack, and how our users use dbt in concert with other tools like Snowflake, BigQuery, GitHub, Airflow, or Okta.
• You consistently solve a high percentage of tickets, handle 6–10 cases per 4-hour shift, and reduce time-to-solution for users.
• You escalate issues with precision, submitting clear, reproducible bugs or feature requests — not vague or misrouted cases.
• Customers consistently rate you highly through CSAT surveys, even when their problems are complex or solutions take time.
• Your documentation is referenced regularly by peers, indicating internal impact and knowledge leadership.

What We’re Looking For:

Must-Haves:

• 5+ years in a technical consulting, advanced support, or software development role within a SaaS environment.
• Proven experience troubleshooting SQL queries, templating languages like Jinja or Liquid, and working with YAML configurations.
• Excellent written and verbal communication; able to explain symptoms, root causes, and solutions clearly.
• Hands-on experience in managing escalations to Engineering, with attention to reproducibility and clarity.
• A collaborative, humble, and detail-oriented teammate who is passionate about helping others succeed.
• Comfortable working with distributed teams across time zones — especially cross-region Engineering partners.

Nice-to-Haves:

• Prior experience using or supporting dbt
• Experience with SAML, especially with Azure AD or Okta
• Working knowledge of API scripting (using access tokens), CI/CD pipelines (GitHub, Gitlab, Azure DevOps), or orchestration tools like Airflow or Dagster
• Familiarity with Snowflake or BigQuery access models (OAuth, Roles, Grants)
• Infrastructure fluency — ability to troubleshoot in cloud-hosted VPCs or bastion servers

Career Path and Growth:

• Within 3 months: You’ll be confidently handling support tickets, building internal documentation, and participating in team knowledge shares.
• At 6 months: You’ll demonstrate growing ownership over support areas, contribute meaningfully to internal process improvements, and be a go-to person for certain technical topics.
• At 12 months: You’ll be shaping our internal support playbooks, leading enablement sessions, and setting the foundation for a potential promotion path into Technical Support Engineer, Solutions Architect, or Product Support leadership — depending on your growth aspirations and the evolving needs of the business.

Why You’ll Love Working Here:

• You’ll work on complex, high-impact problems in the analytics ecosystem
• Join a collaborative, deeply curious, and humble support team that prioritizes learning and empathy
• Access to a rich technical stack, supportive leadership, and the ability to have real influence on both product and process

Benefits

• Unlimited vacation time with a culture that actively encourages time off
• 401k plan with 3% guaranteed company contribution
• Comprehensive healthcare coverage
• Generous paid parental leave
• Health & wellness stipend
• Flexible stipends for:
  • Home office setup
  • Learning and development
  • Office space
  • And more

Compensation:

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview 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, as specified below.

The typical starting salary range for this role is:
$111,000 -- $159,000 USD

The typical starting salary range for this role in the select locations listed is:
$124,000 -- $176,000 USD

Remote Hiring Process:

• Interview with a Talent Acquisition Partner
• Technical Interview with Hiring Manager
• Technical Task: Complete some follow-up reading and go through a more comprehensive technical screen where you will demonstrate your expertise
• Team Interviews 

About the role:

We are looking for a Senior Software Engineer II who cuts through complexity, ships fast, and builds things customers truly love. At dbt Labs, you’ll have the freedom and responsibility to own entire slices of the product, move with speed, and ship features used by thousands of data teams. If you’re the type of engineer who can see the big picture, sweat the details, and still move with agility, you’ll fit right in. We are actively building a visual data modeling tool that empowers thousands of developers with our new Fusion engine.

In this role, you can expect to:

• Take ideas from zero → production with speed, autonomy, and precision
• Ship features that directly impact how thousands of data teams work every day
• Manage trade-offs, priorities, and deliverables by applying your experience in bringing projects to successful completion
• Move fast, break down walls, and cut through bloat to deliver real value
• Collaborate with product and design, and are always are pushing things forward

You are a good fit if you have:

• A track record of building and shipping fullstack products that made a dent in customer outcomes
• The ability to weigh tradeoffs, bias towards action, and take ownership over what you build
• Strong fullstack skills (React/TypeScript, Node, Python, SQL) and comfort owning the whole stack
• Comfort working async with a fully-remote, distributed team

You’ll have an edge if you have:

• Have worked on an application similar to this one, such as a visual design tool, an analytics application, or an IDE
• Have experience scaling applications, especially those with runtimes in Kubernetes and AWS
• Have experience working in an async environment and distributed company

Compensation & Benefits

• Salary: $196,000 - $270,000 USD
• Equity Stake*
• Benefits - dbt Labs offers:
  • Unlimited vacation (and yes we use it!)
  • 401k w/3% guaranteed contribution
  • Excellent healthcare
  • Paid Parental Leave
  • Wellness stipend
  • Home office stipend, and more!

*Equity or comparable benefits may be offered depending on the legal limitations

We are hiring a Program Manager, Scaled Success to architect and own our global tech-touch motion supporting nearly $10M in commercial revenue. This is a senior individual contributor role with end-to-end accountability for defining the strategy, operating model, and performance outcomes of our scaled customer segment. You will design the systems, programs, and engagement framework that drive adoption, retention, and expansion - building the leverage required to support hundreds of customers efficiently without dedicated 1:1 coverage.

This is a 0→1 builder role. You will define the engagement model, implement the necessary tooling and processes, and continuously iterate based on performance data and customer feedback. Over time, this role may grow to oversee individual contributors who operationalize the programs you design. However, the core mandate is strategic ownership and measurable revenue impact. Reporting to the Global Head of Customer Solutions Architecture, this role is highly visible and deeply impactful. You will shape how dbt supports our foundational commercial segment, combining technical depth, systems thinking, and data-driven decision making to deliver durable business outcomes. If you thrive in ambiguity, love building from scratch, and want real ownership over retention and adoption outcomes - this role was built for you.

What You'll Do

Scaled Success Strategy & Operating Model

• Define and continuously evolve our low-touch engagement strategy
• Design customer journeys, success milestones, and intervention triggers
• Determine automation vs. 1:many vs. human engagement
• Define tooling, data signals, and future headcount needs
• Create durable systems, not one-off programs

Adoption Programs & Technical Enablement

• Build and scale 1:many technical programs (webinars, office hours, adoption campaigns)
• Partner with Training and Product Marketing to create durable technical education assets
• Ensure customers adopt key dbt Platform capabilities
• Serve as a technical escalation and guidance resource when needed

Systems, Automation & Process Design

• Design scalable workflows for renewals, churn risk detection, and expansion signals
• Design internal processes that reduce manual effort and improve consistency
• Continuously iterate using data and customer feedback

Cross-Functional Influence

• Partner with Sales on renewal and expansion strategy
• Provide feedback loops to Product and Enablement
• Act as the voice of the scaled commercial segment

What You'll Need

• 5+ years of experience in a role where you have built systems and programs or been in a technical customer facing role with demonstrated ability to build for scale
• Experience influencing renewal, retention, or expansion metrics
• Energized by building something from 0 to 1 and then scaling it
• Strong systems thinking and automation mindset combined with ability to zoom out, define strategy, and then execute
• Highly autonomous and comfortable operating in ambiguity - you enjoy building the plane while flying it
• Comfortable presenting technical concepts to a wide range of audiences, including live webinars and recorded content
• Strong technical foundation with modern data warehousing architectures and analytics stack and automation and AI tooling

What Will Make You Stand Out

• Prior experience building or owning scaled programs (CS, enablement, education, or technical programs)
• Experience managing distributed or near-shore teams
• Experience creating technical content for external audiences
• Familiarity with automation tools, workflows, or systems thinking
• dbt experience or dbt certification (big plus)

Benefits at dbt Labs

• Unlimited vacation time with a culture that actively encourages time off
• 401k plan with 3% guaranteed company contribution
• Comprehensive healthcare coverage
• Generous paid parental leave
• Health & wellness stipend
• Flexible stipends for:
  • Home office setup
  • Learning and development
  • Office space
  • And more!

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview 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, as specified below.

• The typical starting salary range for this role is:
  • $191,000 - $232,000 USD
• The typical starting salary range for this role in the select locations listed is:
  • $213,000 - $258,000 USD

dbt Labs is building a resilient and scalable cloud future on a state-of-the-art multi-cell architecture, and the Transport team is at the core of this evolution. We design, build, and operate the foundational platform that allows our services to run in an isolated, highly available, and globally distributed fashion — spanning infrastructure automation, cloud networking, and customer migration tooling. As a Senior Platform Software Engineer, you'll have an outsized impact on every dbt Labs customer, tackling complex distributed systems problems while collaborating across product engineering, security, and infrastructure teams. This is a hands-on role where whatever you work on touches all of dbt Cloud and all of our customers at the same time.

In this role, you can expect to:

• Join a senior, distributed team: Become part of a closely-knit group of senior engineers at the intersection of application and infrastructure, working asynchronously with ongoing communication in public Slack channels.
• Architect and build platform infrastructure: Design, build, and operate foundational components of our multi-cell platform, including service routing, cloud networking, and the control plane for managing account lifecycles.
• Drive seamless migrations: Develop and automate the tooling to migrate customer accounts from legacy environments to the new multi-cell architecture at scale.
• Develop scalable backend services: Write robust, high-quality backend services and infrastructure code, primarily in Go and Python, with opportunities to work with Rust.
• Tackle cloud networking challenges: Collaborate on network architecture design, including VPC management, load balancing, DNS, PrivateLink, and service mesh configurations to support single-tenant and multi-tenant deployments.
• Automate for scale: Design and implement automation using tools like Argo Workflows, Kubernetes, and Terraform to enhance the reliability, efficiency, and scalability of our platform.
• Collaborate and mentor: Work closely with product engineering teams, security, and customer support to unblock feature conformance, define technical direction, and mentor other engineers.
• Own and troubleshoot: Take strong ownership of distributed systems, troubleshoot complex issues across application and network layers, and participate in an on-call rotation to maintain high availability.

You are a good fit if you have:

• Worked asynchronously as part of a fully-remote, distributed team
• Are an experienced backend or platform engineer, proficient in languages like Go or Python, with a history of building large-scale distributed systems.
• Have deep expertise in modern cloud infrastructure, including extensive hands-on experience with a major cloud provider (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform).
• Thrive at the intersection of product and infrastructure, with a passion for building internal platforms and automation that enhance developer productivity and platform reliability.
• Bring familiarity with cloud networking concepts, including load balancing, DNS, VPCs, proxies, and service mesh technologies — or have a strong desire to learn and grow in this domain.
• Take strong ownership of your work from end-to-end, demonstrating a systematic, customer-focused approach to problem-solving and a track record of contributing to complex technical projects.
• Are a proactive and collaborative communicator, skilled at articulating technical concepts to both technical and non-technical partners and working effectively across team boundaries.

You'll have an edge if you have:

• Direct experience with cell-based or multi-tenant architectures, particularly with building tooling for large-scale account migrations.
• A proven track record of building internal developer platforms or self-service infrastructure that empowers other engineers.
• Hands-on experience with cloud networking tools such as nginx, Istio, Envoy, AWS Transit Gateway, PrivateLink, or Kubernetes CNI/service mesh implementations.
• Deep expertise in multi-cloud strategies, including tools for cross-cloud management and cost optimization.
• Advanced proficiency with our core technologies, including extensive professional experience with both Go and Python, and an interest in or exposure to Rust.
• Advanced industry certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Advanced Networking Specialty, Certified Kubernetes Administrator) or contributions to open-source cloud-native projects.

Qualifications

• 5+ years of professional software engineering experience, particularly in platform, infrastructure, or backend roles supporting SaaS applications.
• A Bachelor's degree in Computer Science or a related technical field is preferred, though equivalent practical experience or bootcamp completion with relevant work history will be considered.

Compensation & Benefits

• The typical starting salary range for this role is: $147,000 - $178,000 USD
• The typical starting salary range for this role in the select locations listed is: $163,000 - $198,000 US

• Unlimited vacation (and yes we use it!)
• 401k w/3% guaranteed contribution
• Excellent healthcare
• Paid Parental Leave
• Wellness stipend
• Home office stipend, and more!

Our Hiring Process (All Video Interviews)

• Interview with a Talent Acquisition Partner (30 Mins)
• Technical Interview with Hiring Manager (60 Mins)
• Team Interviews with Cross Collaborators ( 4 rounds, 45 Mins each)
• Final Values Interview (30 Mins)

About the Role:

As a Senior Partner Marketing Manager, you’ll play a critical role in shaping and executing co-marketing initiatives with some of our most important technology partners globally—including Snowflake, Google, AWS, Microsoft, and Databricks. Your work will amplify the reach and impact of dbt across the modern data stack, helping to elevate our brand and drive growth through the ecosystem. This is a highly cross-functional role where strategic thinking, creativity, and strong collaboration skills will be key to success.

What You'll Do:

• Lead the creation and execution of marketing campaigns, programs, events, and activities with strategic technology partners.
• Collaborate closely with the Revenue Marketing, Partnerships, and Product Marketing teams to ensure GTM partner plans align with dbt Labs’ broader business goals.
• Build and nurture relationships with marketing counterparts at key partners like Snowflake, Google, AWS, Microsoft, and Databricks to align on co-marketing efforts and shared objectives.
• Clearly articulate the value of dbt to partners and support them in promoting the platform internally and to their customer base.
• Own the development of joint messaging and co-branded assets—including blogs, webinars, solution briefs, and presentation decks—ensuring alignment and consistency across all public-facing content.
• Create internal enablement materials to educate and empower sales teams to leverage partner campaigns and initiatives.
• Gain a deep understanding of partner business strategies and priorities; design co-marketing programs that provide mutual value.
• Set and manage OKRs, track program performance, and deliver quarterly reviews with partners to assess impact, identify opportunities, and ensure strategic alignment.
• Develop annual GTM marketing plans tailored to individual partners, accounting for geographic and vertical-specific nuances.
• Exercise strategic judgment in deciding which partner activities to pursue and how best to allocate time and resources for maximum impact.

What You'll Need:

• 8+ years of experience in B2B marketing or similar, particularly within the data or software industry, with a strong track record of building and executing successful partner marketing programs.
• A “builder” mindset: you enjoy solving problems, creating structure where none exists, and working cross-functionally to drive measurable outcomes.
• Deep familiarity with the modern data ecosystem and players such as Snowflake, Google, AWS, Microsoft, and Databricks.
• The ability to navigate complex partner organizations and manage relationships with multiple stakeholders across competing interests.
• Strong storytelling and positioning skills—you know how to distill joint value propositions into compelling messaging and content.
• Comfort operating in a fast-paced, dynamic environment with high levels of ambiguity.
• A broad understanding of integrated marketing strategies, including digital campaigns, field marketing, and industry events.
• Exceptional communication skills, including concise writing and confident presentation abilities, especially with senior stakeholders.

What Will Make You Stand Out:

• Experience working asynchronously within a remote, distributed team.
• Prior experience working for or closely with any of dbt Labs' strategic partners.
• Familiarity with the role dbt Labs plays in the cloud data warehouse ecosystem and the modern data stack.

Remote Hiring Process:

1. Interview with Talent Acquisition Partner
2. Interview with Hiring Manager
3. Take Home Task
4. Team Interviews with Partner Marketing team member and close stakeholders

Benefits:

• Unlimited vacation time with a culture that actively encourages time off
• 401k plan with 3% guaranteed company contribution
• Comprehensive healthcare coverage
• Generous paid parental leave
• Flexible stipends for:
• Health & Wellness
• Home Office Setup
• Cell Phone & Internet
• Learning & Development
• Office Space

Compensation:

We offer competitive compensation packages commensurate with experience, including salary, RSUs, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs total rewards during your interview process.

In select locations (including Austin, Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.

• The typical starting salary range for this role is: $132,000-$188,700
  
  
• The typical starting salary range for this role in the select locations listed is: $147,000-209,000

#LI-Remote

We’re looking for an Infrastructure Senior Engineering Manager to help us build a seamless, reliable platform for the dbt platform across AWS, Azure, and GCP. Our team’s mission is to create a seamless developer experience by providing a stable, observable, and easy-to-use infrastructure platform.

Over the past year, we’ve designed and operationalized a next-gen cell-based architecture, scaling the dbt platform across all three cloud providers. Now, we’re focused on automation, self-service, and improving developer velocity through better tooling, processes, and infrastructure design.

As a Senior Engineering Manager, you'll lead your team on infrastructure projects to refine our platform while ensuring performance, reliability, and an excellent developer experience. You'll collaborate across teams, tackle real infrastructure challenges, and help shape the future of the multi-cloud dbt platform.

About the Team

You'll be managing one of the infrastructure teams within the larger Platform organization. This team will be responsible for our infrastructure as a service, multi-cell management and migrations, network ingress/egress connectivity, private link connectivity to data warehouses.

In this role, you can expect to:

• Build, lead, and coach a team of 8-12 engineers to manage the infrastructure for the dbt platform and report to the Director of Infrastructure
• Empower your team to achieve big goals by giving them product and business context and supporting team ownership of the roadmap, product development lifecycle, and technical excellence.
• Dive deep into our product to frame tradeoffs and make decisions about what, how, and when we build.
• Partner with Product Marketing, Solutions Architecture, and Customer Support to build delightful migration experiences, helping our customers seamlessly move off legacy deployments.
• Coach engineers in product thinking, quality, and software engineering. Build individualized growth plans and match interests and capabilities to team goals.
• Work with peer managers to evolve organizational processes like product training, technical decision making, project execution, and planning.

Mandatory skills

• 5+ years in people management with a software or infrastructure engineering team
• Experience managing senior individual contributors (Staff+ level).
• Experience supporting a cloud-based infrastructure with complex resource requirements and global deployment strategy. You bring hard-won expertise on reliability, availability, performance, and security at the intersection of application and infrastructure.
• Deep understanding of Terraform and cloud infrastructure state management

You are a good fit if you have:

• Experience leading teams through all parts of the product development lifecycle. You’ve lived design, implementation, end-to-end testing, observability, release strategies, and incident management.
• Have successfully partnered across teams and departments to coordinate cross-cutting initiatives
• You are interested in our mission and values. You are inspired to drive progress in the data and analytics ecosystem.

You’ll have an edge if you have:

• Worked asynchronously as part of a fully-remote, distributed team
• Have excellent written communication skills. We are a remote-first company that uses writing to facilitate decision-making.
• Startup or scaleup experience. You may be asked to wear many hats, and agility in shifting roles and scopes will contribute to your success.

Compensation & Benefits

• The typical starting salary range for this role is: $223,000 - $270,000 USD
• The typical starting salary range for this role in the select locations listed is: $248,000 - $300,000 US

• Unlimited vacation (and yes we use it!)
• 401k w/3% guaranteed contribution
• Excellent healthcare
• Paid Parental Leave
• Wellness stipend
• Home office stipend, and more!

Our Hiring Process (All Video Interviews)

• Interview with a Talent Acquisition Partner (30 Mins)
• Technical Interview with Hiring Manager (60 Mins)
• Team Interviews ( 3 rounds, 45 Mins each)
• Final Values Interview (30 Mins)

If you’re passionate about building well-designed, high-impact software, we’d love to hear from you!

Location: United States (Remote) 

About the Role

We’re seeking an experienced Resident Architect (RA) with a passion for solving challenging problems with dbt to join our Professional Services team. RAs are billable to dbt Enterprise customers and help achieve our mission to empower data developers to create and disseminate organizational knowledge.

To be eligible for this role, you must be physically located in the United States.

What You'll Do

• Work on a variety of impactful customer technical projects - inclusive of implementation, troubleshooting configurations, instilling best practices, and solutioning MVPs and long term solutions to customer specific requirements
• Consult on architecture and design
• Ensure our most strategic enterprise customers are adopting the product
• Collaborate with other internal customer facing teams at dbt Labs - Sales, Solution Architects, Training, Support
• Provide critical feedback to dbt Labs product and engineering teams to improve and prioritize customer requests and ensure rapid resolution for engagement specific issues
• Become a product expert with dbt in the context of the modern data stack (if you aren’t already)

What You'll Need

• 4+ years experience working with technical data tooling, even better if it is in a customer-facing post-sales, technical architect or consulting role
• Deep expertise in at least one data platform (Snowflake, Databricks, BigQuery, Redshift)
• Experience using, deploying, or configuring dbt in an enterprise setting - working with dbt for minimum 1 year
• Proficiency in writing SQL and python in analytics contexts
• You look forward to building skills in technical areas that support deployment and integration of dbt enterprise solutions to complete customer projects
• Customer focus, embracing one of core values that users are our best advocates
• Strong organizational skills with the ability to manage multiple technical projects simultaneously - including defining scope, tracking timelines, and ensuring deliverables are met.
• Clear and concise communicator with the ability to engage internal and external stakeholders, effectively explain complex technical or organizational challenges, and propose thoughtful, iterative solutions.
• The ability to thrive in a remote organization that highly values transparency and cross-collaboration
• Travel approximately 2-4x/year for customer onsite sessions, team offsites, and company events will be expected

What Will Make You Stand Out

• You have obtained the dbt Analytics Engineering Certification
• You have the ability to advise on dbt enterprise recommendations, and build direction/consensus with the customer to move forward
• Experience with traditional Enterprise ETL tooling (Informatica, Datastage, Talend)

Remote Hiring Process

• Interview with a Talent Acquisition Partner
• Hiring Manager Interview
• Technical Task + Presentation
• Team Interview

Benefits

• Unlimited vacation time with a culture that actively encourages time off
• 401k plan with 3% guaranteed company contribution
• Comprehensive healthcare coverage
• Generous paid parental leave
• Flexible stipends for:
  • Health & Wellness
  • Home Office Setup
  • Cell Phone & Internet
  • Learning & Development
  • Office Space

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview 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, as specified below.

• The typical starting salary range for this role is:
  • $114,000 - $137,700
• The typical starting salary range for this role in the select locations listed is:
  • $126,000 - $153,000

#LI-LC1

We're looking for a Staff Software Engineer to join our Quality and Release Platform (QARP) team and lead the technical direction of the platforms that power how dbt Labs builds, tests, and ships software. Our mission spans two critical areas: release engineering — making it easy for engineers to ship changes quickly, safely, and reliably — and code quality — building a platform that raises the bar for code quality across all of dbt Labs engineering. You'll work with tools like Helm, ArgoCD, Terraform, Python, GitHub Actions, and Kargo to architect and scale our deployment systems, while also helping design and build the tooling, frameworks, and automation that enable engineering teams to consistently produce high-quality code. This is a high-impact, staff-level role where you'll set architectural direction, mentor engineers, and drive initiatives that improve developer velocity, code quality, and reliability across the entire engineering organization. You'll also serve as a thought leader in engineering's internal AI strategy — helping define how we enable developers to leverage AI tools to write better code, ship faster, and work smarter.

In this role, you can expect to:

• Define and drive the technical strategy and architecture for our CI/CD platform, release management systems, and code quality platform.
• Design and build tooling, frameworks, and automation that help engineering teams maintain and improve code quality across the organization.
• Lead high-impact initiatives that improve automation, observability, and self-service capabilities for engineers across the organization.
• Mentor and level up other engineers on the team, fostering a culture of technical excellence and continuous improvement.
• Collaborate across teams and with engineering leadership to identify systemic challenges in our delivery and quality processes and architect solutions to address them.
• Evolve our release architecture to support dbt Cloud's multi-cloud, cell-based infrastructure at scale.
• Establish best practices and standards for build pipelines, release workflows, code quality, and infrastructure-as-code that are adopted across engineering.
• Serve as a thought leader in engineering's internal AI strategy — evaluating AI-assisted development tools, defining adoption practices and guardrails, and enabling developers to use AI effectively across the org.

You are a good fit if you have:

• 8+ years of software engineering experience, with significant time in platform, infrastructure, release engineering, or developer tooling.
• A track record of leading technical strategy and architecture for complex, production-scale CI/CD, code quality, or platform systems.
• Deep experience with one or more of the following: Helm, ArgoCD, Terraform, GitHub Actions, or Kubernetes.
• Strong background in Python, Go, or Rust for automation, platform tooling, or systems development.
• Passion for code quality and experience building or improving tools, linters, static analysis, testing frameworks, or CI checks that help teams write better code.
• Demonstrated ability to drive cross-team initiatives and influence engineering-wide practices and standards.
• Excellent communication skills — able to translate complex technical concepts for diverse audiences and lead through influence.
• Demonstrated interest or hands-on experience with AI-assisted development tools and practices, with a perspective on how AI can improve engineering productivity and code quality.
• Experience working asynchronously as part of a fully remote, distributed team.

You'll have an edge if you have:

• Experience with Kargo or similar progressive delivery systems.
• Hands-on experience with multi-cloud architectures (AWS, GCP, Azure).
• Experience building code quality platforms, static analysis tooling, or testing infrastructure at scale.
• Experience defining and rolling out engineering-wide code quality standards or best practices.
• A track record of improving developer productivity or release safety across a large engineering organization.
• Experience mentoring engineers and shaping team culture in a staff or principal-level role.
• Track record of evaluating, championing, and rolling out AI developer tools (e.g., Copilot, Cursor, Claude Code) within an engineering organization.
• Experience defining guidelines, guardrails, or best practices for AI-assisted development.

Compensation & Benefits

• The typical starting salary range for this role is: $207,000 - $251,000 USD
• The typical starting salary range for this role in the select locations listed is: $230,000 - $279,000 US

• Unlimited vacation (and yes we use it!)
• 401k w/3% guaranteed contribution
• Excellent healthcare
• Paid Parental Leave
• Wellness stipend
• Home office stipend, and more!

Our Hiring Process (All Video Interviews)

• Interview with a Talent Acquisition Partner (30 Mins)
• Technical Interview with Hiring Manager (60 Mins)
• Team Interviews - Technical ( 3 rounds, 60 Mins each)
• Values Interview (30 Mins)

#LI_RC1