We're looking for a Senior Platform Software Engineer to join our Transport team, which is at the core of our evolution towards a resilient and scalable cloud future. As a member of this team, you'll design, build, and operate the foundational platform that allows our services to run in an isolated, highly available, and globally distributed fashion.

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

Salary: 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 Labs' total rewards during your interview process.

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

• 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

Equity Stake Benefits

• dbt Labs offers: unlimited vacation, 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

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)

dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply,we value potential just as much as a perfect resume. Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.

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dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. As of February 2025, we've surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers.

As a Solutions Architect (SA), your role is to help prospects understand the value that dbt Cloud can bring to their organisation. You'll lead technical discussions with prospective customers, uncover their data challenges, and demonstrate how dbt Cloud can meet their needs through live demos and technical workshops.

Internally, you'll contribute to building and refining our processes and playbooks, while acting as the voice of the customer to ensure we continue developing products that solve real problems and delight our users.

Responsibilities

• Spend the majority of your time on pre-sales opportunities to understand customer use cases and identify the value dbt Cloud can bring to their organisation

• Consult with potential customers to uncover their data challenges and highlight how dbt Cloud can alleviate pain points and support their goals

• Own the demonstration of technical and business impact by delivering tailored demos of dbt Cloud and providing expert guidance

• Collaborate closely with Account Executives, building strong, trust-based relationships and offering strategic input throughout the deal process

• Maintain ongoing relationships with technical stakeholders within your accounts

• Partner with internal teams to improve how we work together, represent the voice of the customer in product discussions, and contribute to cross-functional initiatives

• Participate in our knowledge-sharing loop by helping improve team processes, refining assets, and enabling others through collaboration

• Create and deliver external-facing content through live events, blog posts, recorded tutorials, or other educational resources

Requirements

• 4+ years of experience as a data practitioner or consultant in data operations or analytics

• Strong technical foundation, with a solid understanding of modern data warehousing architectures, the modern data stack, and proficiency in SQL

• Prior experience with dbt is preferred; bonus points for dbt certification

• Experience working asynchronously as part of a partially remote, distributed team

• High degree of comfort presenting to diverse stakeholders or audiences, ideally in an externally facing role

• Ability to operate effectively in ambiguous, fast-paced environments and think on your feet during customer conversations

• Desire to be a strong team player,both within the SA team as we evolve our ways of working, and in daily collaboration with Account Executives as part of a deal team

• Openness to travel; we value the power of in-person relationship building, both internally and externally, and expect willingness to travel to events as needed

Preferred Qualifications

• Basic python competency and advanced SQL knowledge

• Proven experience in a pre-sales tech role

• Experience with traditional ETL tooling

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.

OTE Range (Select Locations)

$145,000-$172,000 USD

OTE Range

$142,000-$202,000 USD

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We're looking for a Customer Solutions Architect to help current customers gain the most value from their dbt Cloud deployment. As a Customer Solutions Architect, you will monitor an existing book of business, lead technical discussions with customers, uncover new data challenges, and showcase how dbt Cloud can address their needs through live demos and technical workshops.

Responsibilities

• Manage a portfolio of Commercial or Enterprise customers and proactively monitor the health of your accounts, product adoption, and utilization across your book of business to identify opportunities for potential expansion and churn or contraction risks
• Improve customer loyalty and retention through building and maintaining strong relationships with key technical stakeholders within customer accounts, and understanding their analytics needs and use cases to determine where dbt Cloud can help them achieve their goals
• Increase the value customers obtain from dbt Cloud through educating your customer base on new products and features as they are launched and on existing products and features that they may not be making use of
• Collaborate closely with Sales Directors and Solutions Architects on your accounts, building strong trust-based relationships and providing strategic input on the customer lifecycle and renewals processes
• Be the voice of the customer in product discussions, work with the team to improve the way we work together, and participate in other cross-functional activities
• Participate in the knowledge loop helping to improve our processes and assets and enabling others on the team
• Create and deliver external facing content through live events, blog posts, recorded tutorials, or other content

What You'll Need

• 2+ years of experience in a post-sales role, such as a technical account manager or CSE
• A solid technical background, with a firm understanding of modern data warehousing architectures, the analytics stack, and SQL proficiency
• High degree of comfort presenting to various stakeholders or audience, ideally with experience in an externally facing role
• Ability to operate in an ambiguous and fast-paced environment and think on your feet when engaged in customer conversations
• Desire to be part of a team, both as an active member of the Customer Solutions Architect team as we continue to evolve and improve how we work, and in your day-to-day work with Sales Directors and Solutions Architects
• Openness to travel

What Will Make You Stand Out

• Bonus points for dbt certification, prior dbt experience will be very helpful in this role
• Basic python competency and advanced SQL knowledge
• Have experience with ancillary tools, managing data infrastructure, APIs, etc

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 Labs total rewards during your interview process.

OTE Range (Select Locations)

$110,000-$140,000 USD

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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.

Responsibilities

• 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.

Requirements

• 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.

Nice to Have

• 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.

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

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dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases. As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers.

As an Account Executive, you will be responsible for managing our commercial customer base. The ideal person will be a proactive and curious member of our growing Sales team, identifying new business with prospects and growth opportunities for clients. A certain level of foresight and knowledge working with intrinsic sales cycles will take this individual confidently into the future of dbt Labs.

In this role, you can expect to:

• Build, manage and close your own pipeline of companies that you believe will benefit from the dbt Cloud offering
• Manage, and deepen the dbt Cloud footprint in existing accounts, optimizing our impact on these companies
• Engage with technology partners and ecosystem service providers to optimize our impact and reach in the region
• Lead and contribute to team projects that develop our sales process
• Work with product to build and maintain the dbt Cloud enterprise roadmap

We’re looking for someone who has:

• 2+ years closing experience in technology sales, with a proven track record of exceeding annual targets
• Ability to understand complex technical concepts and develop them into a consultative sale
• Excellent verbal, written, and in-person communication skills to engage stakeholders at all levels of an analytics organization (individual developer up to CTO)
• The diligence and organizational skills to work long, intricate sales cycles involving multiple client teams
• Ability to operate in an ambiguous and fast-paced work environment
• A passion for being an inclusive teammate and involved member of the community
• Experience with SQL or willingness to learn

You have an edge if you have:

• Prior experience in analytics, ETL, BI, and/or open-sourced software
• Knowledge of or prior experience with dbt
• Prior experience of selling into the Nordics

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 Lab’s total rewards during your interview process.

The typical starting salary range for this role is: €124,000 EUR to €150,000 EUR with growth into the €170,000's

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To be successful in this role, you will need a Bachelor's degree in a related field such as Computer Science, Data Analytics, Education, or similar. You will also need 2-4 years of technical instruction or related experience. You will love teaching and creating those lightbulb moments for learners. You will create learning environments with high levels of engagement. You will be laser-focused on learner and customer outcomes while adjusting instruction on the fly. You will believe teaching is a craft that we can always get better at and actively seek out feedback. You will communicate clearly and concisely with internal and external stakeholders. You will thrive in an environment of cross-collaboration that moves quickly. You will 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. You have a dbt Fundamentals badge.

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Key responsibilities include:

• Owning the full sales cycle from lead to ongoing utilization for enterprise prospects

• Organizing POC implementations of dbt Cloud Enterprise

• Winning 20 new dbt Cloud Enterprise customers per year (after ramp)

• Leading and contributing to team projects that develop our sales process

• Working with product to build and maintain the dbt Cloud enterprise roadmap

• Becoming an expert in SQL, dbt, and enterprise data operations

• Being an active member of the dbt open source community

To succeed in this role, you will need:

• 7+ years closing experience in technology sales, with a proven track record of exceeding annual targets

• Ability to understand complex technical concepts and develop them into a consultative sale

• Excellent verbal, written, and in-person communication skills to engage stakeholders at all levels of an analytics organization (individual developer up to CTO)

• The diligence and organizational skills to work long, intricate sales cycles involving multiple client teams

• Ability to operate in an ambiguous and fast-paced work environment

• A passion for being an inclusive teammate and involved member of the community

• Experience with SQL or willingness to learn

Prior experience in analytics, ETL, BI, and/or open-sourced software is a plus, as well as knowledge of or prior experience with dbt.

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Your responsibilities will include:

• Prototyping apt technical solutions and finding best fits for the context engine.
• Architecting and building the core Context Platform.
• Designing schemas and primitives for Decision Memory and enterprise context.
• Owning context storage systems (graph, vector, event/time-based).
• Building read/write/query APIs used by agents, products, and external apps.
• Designing permission-aware, auditable context access.

You will be working closely with agentic systems engineers and product leadership to ensure the context engine is interoperable, portable, and zero-lock-in by design.

In this role, you will own:

• Context schemas and schema evolution strategies.
• Storage and data modeling choices.
• Platform APIs and interfaces.
• Security, identity propagation, and audit foundations.
• Long-term scalability and correctness of context data.

You will not own:

• Agent behavior or orchestration logic.
• Business rules or governance policy decisions.
• Product UI or workflow automation.

The ideal candidate will have significant experience building distributed systems, data platforms, or infrastructure, and will be comfortable operating in ambiguous, greenfield problem spaces. They will also have deep expertise in data modeling and schema design, experience designing shared platforms used by many teams, and strong instincts around APIs, contracts, and backward compatibility.

Nice to have experience with knowledge graphs, metadata systems, or search/retrieval systems, experience building systems with governance, auditability, or compliance requirements, and familiarity with dbt or modern analytics stacks or developer tooling.

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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.

In this role, 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.

Responsibilities

• 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.

Requirements

• 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.

Preferred Qualifications

• 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

Salary: We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay.

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

• 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

Equity Stake Benefits

• dbt Labs offers: unlimited vacation, 401k w/3% guaranteed contribution, excellent healthcare, paid parental leave, wellness stipend, home office stipend, and more!

Our Hiring Process

• 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

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You will work closely with Partner Development Managers to drive partner capability, field alignment, and pipeline across strategic SI and consulting partners as well as key technology partners such as Snowflake, Databricks, and Google Cloud.

Internally, this role sits at the intersection of Field Engineering, Partnerships, Sales, Product, and Partner Marketing. This is not a purely reactive enablement role. The Partner SA is expected to help shape and execute repeatable partner plays that create revenue.

That includes enabling partner sellers and architects, supporting account mapping and seller-to-seller engagement, helping define joint value propositions, supporting partner-led pipeline generation, and influencing product and field strategy based on what is learned in-market.

Internal operating docs show this motion consistently includes enablement sessions, QBR sponsorships, account planning, workshops, field events, and targeted campaigns designed to produce sourced and influenced pipeline.

You'll be part of a team helping dbt scale its ecosystem through better partner capability, tighter field alignment, and more repeatable pipeline generation. The role is especially important as dbt continues investing in structured partner motions and deeper engagement with major cloud and data platform partners.

What you'll do:

• Partner closely with Partner Development Managers to execute joint GTM plans across technology and SI/consulting partners.

• Build trusted technical relationships with partner architects, sellers, and practice leaders

• Run partner enablement sessions, workshops, office hours, and hands-on technical trainings to improve partner capability and field readiness

• Support account mapping and seller-to-seller alignment between dbt and partner field teams to uncover and accelerate pipeline

• Help create and refine repeatable sales plays across themes like core-to-cloud migration, modernization, AI-ready data foundations, marketplace, semantic layer, and partner platform adoption

• Support partner-led and tri-party pipeline generation efforts including QBRs, innovation days, lunch-and-learns, hands-on labs, and local field events

• Equip partner teams with the technical messaging, demo narratives, architectures, and customer use cases needed to position dbt effectively

• Collaborate with dbt Account Executives, Sales Engineers, and regional sales leadership to drive co-sell execution in target accounts

• Act as a technical bridge between partners and dbt Product / Engineering by surfacing integration gaps, field feedback, competitive insights, and roadmap opportunities

• Serve as an internal subject matter expert on dbt’s major technology partner ecosystem, especially Snowflake, Databricks, and Google Cloud

• Contribute to the scale motion by helping build collateral, playbooks, enablement assets, and best practices that raise the bar across the broader Partner SA function

• Travel approximately 30-40% to support partner planning, enablement, executive meetings, and field events across Japan

This scope reflects how the Partner SA team is already operating: enabling partner field teams, building account-level alignment, supporting QBRs and regional events, and translating those activities into sourced and engaged pipeline.

What you'll need:

• 5+ years of experience in solutions architecture, sales engineering, consulting, partner engineering, or another customer-facing technical role in data and analytics

• Strong hands-on background in SQL, data modeling, analytics engineering, and modern data platforms

• Ability to clearly explain modern data stack architectures and how dbt fits across warehouses, lakehouses, semantic layers, and AI-oriented workflows

• Experience translating technical capabilities into clear business value for both technical and non-technical audiences

• Comfort operating in highly cross-functional environments across Sales, Partnerships, Product, and Marketing

• Strong presentation, workshop, and facilitation skills, including external enablement and customer-facing sessions

• Proven ability to drive outcomes in ambiguous, fast-moving environments with multiple stakeholders

• Experience supporting complex enterprise buying motions, proof-of-value work, or partner-influenced sales cycles

• Strong written communication skills for building collateral, technical narratives, and partner-facing content

• A collaborative mindset and a desire to help scale best practices across a growing team

What will make you stand out:

• Experience working directly in partner, alliance, or ecosystem roles

• Experience with Snowflake, Databricks, BigQuery / Google Cloud, AWS, or Microsoft Fabric in a GTM or solutions context

• Experience enabling systems integrators, consulting firms, or technology partner field teams

• Familiarity with cloud marketplace motions, co-sell programs, and partner-sourced pipeline generation

• Prior experience with dbt, analytics engineering workflows, or adjacent tooling in transformation, orchestration, governance, or metadata

• Strong instincts for identifying repeatable plays that connect enablement activity to measurable pipeline outcomes

• Ability to influence both strategy and execution, from partner messaging and field enablement to product feedback and GTM refinement

• A track record of building credibility quickly with partner sellers, partner architects, and internal field teams

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

• Interview with Talent Acquisition Partner

• Interview with Hiring Manager

• Team Interviews

• Demo Round

#LI-LA1

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Responsibilities:

• Own the full sales cycle from lead to ongoing utilization for enterprise prospects
• Organize POC implementations of dbt Cloud Enterprise
• Win 20 new dbt Cloud Enterprise customers per year (after ramp)
• Lead and contribute to team projects that develop our sales process
• Work with product to build and maintain the dbt Cloud enterprise roadmap
• Become an expert in SQL, dbt, and enterprise data operations
• Be an active member of the dbt open source community

Requirements:

• 4+ years closing experience in technology sales, with a proven track record of exceeding annual targets
• Ability to understand complex technical concepts and develop them into a consultative sale
• Excellent verbal, written, and in-person communication skills to engage stakeholders at all levels of an analytics organization
• The diligence and organizational skills to work long, intricate sales cycles involving multiple client teams
• Ability to operate in an ambiguous and fast-paced work environment
• A passion for being an inclusive teammate and involved member of the community
• Experience with SQL or willingness to learn

What will make you stand out:

• Prior experience in analytics, ETL, BI, and/or open-sourced software
• Knowledge of or prior experience with dbt

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 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.

Sales Director OTE Range $238,000-$320,000 USD

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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.

Responsibilities

• 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

Requirements

• 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
• Deep understanding of Terraform and cloud infrastructure state management

Nice to Have

• Experience leading teams through all parts of the product development lifecycle
• 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

Compensation & Benefits

Salary: 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 Labs' total rewards during your interview process.

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

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

Equity Stake Benefits

• dbt Labs offers: unlimited vacation, 401k w/3% guaranteed contribution, excellent healthcare, paid parental leave, wellness stipend, home office stipend, and more!

Our Hiring Process

• 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!

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dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. As of February 2025, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.

We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

• Reliable, high-quality data is the fuel that propels AI-powered data engineering.
• AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.
• We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.

About the Security Team

The mission of the Security Engineering team at dbt Labs is to provide clear, opinionated security guidance and scalable, secure-by-default offerings to engineers for the purpose of securing software development and enabling pragmatic risk decisions at dbt.

Responsibilities

As a Senior Security Operations Engineer on the Detection & Response team, you will strengthen and maintain the company's security posture throughout the threat detection lifecycle from telemetry collection and continuous monitoring through threat detection, incident response, and security event management. You will serve as a subject matter expert for security operations across the dbt Labs' teams and technology infrastructure, including multi-cloud production environments, identity, endpoints, and SaaS technologies.

Key Responsibilities

• Participate in a 24/7 on-call rotation providing coverage for active security incidents, investigations, and security events across our global infrastructure.
• Lead investigation and remediation of security incidents, coordinating cross-functional response efforts to minimize impact and recovery time.
• Play a major role in bootstrapping an end to end D&R alert and investigation pipeline.
• Triage and investigate security alerts from detection tools including Wiz Defend, Crowdstrike, and cloud security platforms to identify genuine threats and reduce false positives.
• Develop and maintain detection rules, runbooks, and response procedures mapped to the company's threat model.
• Automate alert triage workflows and improve mean time to detection and response through tooling and process enhancements, including leveraging AI enrichment and processing.
• Collaborate with Infrastructure and Application Security teams to implement secure-by-design principles and remediate identified security issues.
• Conduct security event analysis to identify policy violations, misconfigurations, and potential attack vectors before they become incidents.
• Partner with our Enterprise Security & Technology team to enhance endpoint security controls and monitoring across endpoints (MacOS laptops & some Windows and Linux-based development environments).
• Design and facilitate tabletop exercises and game days to test detection, response, recovery, and remediation capabilities.
• Contribute to the maturation of the security incident response program through documentation, training, and process improvements.
• Mentor junior security engineers and cross-functional team members on incident handling best practices.

Requirements

• Demonstrated ability to excel in high-pressure situations; we need someone who can make sound decisions during active security incidents and can calmly serve as incident commander with confidence.

Qualifications

• Have 8+ years of professional experience in security-related domains, including at least 4 years in security operations, incident response, threat hunting, or threat detection roles.
• Have demonstrable experience leading security incident investigations and coordinating cross-team response efforts.

What We Offer

• Competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay.
• Opportunity to work with a leading analytics engineering platform and contribute to the growth and success of the company.
• Collaborative and dynamic work environment with a team of experienced professionals.
• Opportunities for professional growth and development.

How to Apply

If you are a motivated and experienced security professional looking for a new challenge, please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you!

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dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights.

As of February 2025, we've surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.

We're backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.

About The Team

dbt Fusion is building the next generation of data execution and connectivity infrastructure, enabling dbt workloads to run efficiently across diverse compute engines and data platforms.

As a Senior Engineer on the Fusion Adapters and Connectivity team, you'll design and ship core abstractions powering how dbt communicates with execution systems , leveraging Rust, Go, Arrow, and emerging open standards.

This is a rare opportunity to work at the intersection of systems programming, database internals, and high-visibility open-source development.

Your work will shape a foundational platform leveraged across the dbt ecosystem and the broader data community.

You are a good fit if you have:

• Strong programming background in Rust, Go, C++ or similar performance-oriented languages.

• Experience designing or maintaining SDKs, libraries, connectors, or compute/data integration codebases.

• Exposure to data warehouses, query engines, Arrow/columnar ecosystems, or execution runtimes.

• A desire to build foundational platform components that other teams and community members rely on.

• Comfort working in public code review loops, async-first communication, and collaborative RFC processes.

• A mindset grounded in debuggability, reliability, and ownership in ambiguous problem spaces.

In this role, you can expect to:

• Design, build, and maintain Rust-first connectivity layers, execution APIs, and adapter scaffolding.

• Partner with teams building the dbt compiler, semantic layer, and runtime to evolve adapter interfaces and system boundaries.

• Contribute to Arrow/ADBC and other open-source specifications or implementations, strengthening the data ecosystem.

• Own CI, testing frameworks, profiling, error reporting surfaces, and release readiness for Fusion adapters.

• Debug complex interoperability and performance issues across drivers, engines, and compute domains.

• Collaborate with internal and community maintainers to review PRs, write RFCs, and evolve public code architectures.

• Mentor engineers on systems best practices and contribute to shared patterns around resilience, debuggability, and API clarity.

You'll have an edge if you have:

• Contributed to or interacted with Arrow, ADBC, DuckDB, Presto, DataFusion, Spark, ClickHouse, or similar engines.

• Experience shaping adapter/plugin standards, driver contracts, or architectural interfaces used by others.

• Familiarity with Rust async ecosystems (tokio, tower, tracing) or Go concurrency practices.

• Prior OSS governance experience , triaging issues, reviewing PRs, or working with community maintainers.

• An interest in building developer-experience layers or scaffolding frameworks for adapter authors.

Qualifications:

• 6+ years experience in software engineering, with strong systems-level skills.

• 2+ years working in open-source, SDK, runtime, or low-level integration environments.

• Bachelor's degree in Computer Science / related field or equivalent experience through industry OSS contributions.

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---------------- dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.

We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

• Reliable, high-quality data is the fuel that propels AI-powered data engineering.

• AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.

About the Role

---------------- dbt Labs is building a dynamic and expansive partner ecosystem to empower our customers on their data transformation journey. As part of this mission, the Partner Strategy and Programs team is seeking an experienced and highly motivated Partner Programs Lead to design, develop, and scale strategic programs that drive partner success. This role will have a particular focus on programs that accelerate partner-led services, enablement, and customer consumption through strategic investments and funding mechanisms.

We are looking for a passionate professional with deep expertise in partner and customer engagement, coupled with a strong ability to influence business performance through impactful programs and strategic investments. The ideal candidate will demonstrate a balance of analytical thinking, strategic execution, and cross-functional leadership. They will have a proven ability to thrive in ambiguity, execute with excellence, collaborate across virtual teams, and communicate effectively with internal and external executive stakeholders.

Responsibilities

------------

• Develop and execute scalable partner programs, incentives, and business processes to drive global partner success.

• Design and implement program frameworks that accelerate partner growth and adoption of dbt Labs’ products and services.

• Drive execution and adoption, ensuring the long-term success of partner programs through comprehensive planning and implementation.

• Monitor and optimize program performance by leveraging data-driven insights to enhance efficiency, utilization, and compliance.

• Create and maintain program documentation, including detailed program benefits, terms, conditions, rules of engagement, and marketing materials for a global audience.

• Continuously refine and enhance partner programs based on partner feedback, internal insights, and strategic planning.

• Collaborate cross-functionally to define system and process requirements that enhance the partner and sales experience within the program infrastructure.

What You’ll Need

-----------------

• 4+ years of experience in channel programs, operations, partner marketing/sales, incentives, or rebate management.

• Deep understanding of channel partner business models and their role in solution delivery, sales, and services within the cloud and software ecosystem.

• Experience working with services partners (SIs/GSIs), partner funding models (e.g., MDF/PDF), or partner enablement programs.

• Bachelor’s degree in a relevant field.

• Proven expertise in designing and executing partner programs that align with business strategy and drive measurable impact.

• Strong financial and analytical acumen, with experience in developing business plans, financial models, and data analytics to support program justification and evolution.

• Excellent communication and interpersonal skills, with the ability to engage effectively with executive leadership and external partners.

• Proficiency in data analysis tools (e.g., Excel, Tableau) and strong presentation skills.

• Exceptional organizational, negotiation, and project management abilities to manage multiple priorities effectively.

• Ability to travel up to 20% of the time.

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.

OTE Range (80/20 Split)

$190,000-$220,000 USD

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The ideal candidate will have 4+ years of experience in SaaS sales or account management, with a proven track record of exceeding targets. They will be able to build a strategic plan to drive expansion in a portfolio of Commercial and Enterprise accounts, manage multiple sales cycles and customer campaigns targeting Analytics Engineering, Data Platform, and Data Governance personas.

Key responsibilities include:

• Building a strategic plan to drive expansion in a portfolio of Commercial and Enterprise accounts
• Managing multiple sales cycles and customer campaigns targeting Analytics Engineering, Data Platform, and Data Governance personas
• Protecting renewals by monitoring account signals, deepening executive alignment, and helping customers realize consistent value

The successful candidate will have strong consultative selling skills, engaging effectively with both technical and business audiences. They will be proactive and organized, capable of independently managing a diverse book of business.

Preferred qualifications include prior experience in analytics, ETL, BI, or open-source software, familiarity with dbt (core or Cloud) and the modern data stack, including platforms like Snowflake, BigQuery, Redshift, or Databricks, experience with consumption and/or usage-based pricing structures, and experience with the MEDD(P)ICC sales methodology / Command of the Message.

Benefits include unlimited vacation time, 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, and office space.

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay.

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dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights.

Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.

We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.

At our core, we believe in empowering data practitioners:

• Reliable, high-quality data is the fuel that propels AI-powered data engineering.

• AI is changing data work, fast.

dbt’s data control plane keeps data engineers ahead of that curve.

• We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.

dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world.

And we’re just getting started..

We’re growing fast and building a team of passionate, curious people across the globe.

Learn more about what makes us special by checking out our values.

Job Description

At dbt Labs, customers are our most powerful advocates, and this role sits at the center of how their voices shape our growth.

Do you love building meaningful relationships, designing scalable programs, and turning customer success into compelling stories?

As a Customer Advocacy Manager, you’ll lead the strategy, systems, and execution behind our global advocacy efforts.

You’ll own an integrated, highly visible customer advocacy ecosystem, connecting sales, marketing, product, community, and customer success around shared goals.

From customer advisory boards to content pipelines, you’ll design programs that elevate our most influential customers, strengthen our brand, and drive measurable business impact.

This is a highly cross-functional, high-impact role for someone who thrives at the intersection of relationship-building, program leadership, and strategic storytelling.

Responsibilities

• Build and lead a scalable, end-to-end customer advocacy strategy that integrates across go-to-market teams

• Partner closely with global marketing teams to create high-velocity, multi-format customer storytelling programs across priority regions

• Design, manage, and evolve dbt Labs’ Customer Advisory Board program, including charter development, governance, executive engagement, roster growth and biannual in-person and virtual meetings

• Own content strategy and execution for the dbt Labs Executive Summit, in partnership with the Strategic Events team

• Develop systems, workflows, and documentation to manage advocacy programs at scale and provide organization-wide visibility into progress and impact

• Grow, nurture, and steward long-term relationships with executive-level and practitioner-level customer advocates

• Identify and enable customer voices for speaking opportunities, media, analyst engagements, and industry events

• Build and manage customer recognition and advocacy spotlight programs

• Collaborate with sales and customer success leadership to align advocacy efforts with account strategy and pipeline goals

• Create and maintain a robust, self-service customer reference and advocacy database

• Serve as a trusted advisor and brand ambassador in all customer interactions

• Partner with product marketing, brand, communications, community, and sales to ensure cohesive storytelling and program alignment

• Establish and align execution to clear project plans, timelines, and accountability structures for all major initiatives

• Build and deliver executive-ready reporting on program performance, outcomes, and ROI

• Continuously assess program effectiveness and iterate based on data and stakeholder feedback

Requirements

• Experience leading customer advocacy, community, or reference programs in a SaaS or technology environment

• Proven success designing and managing customer advisory boards and executive engagement programs

• Exceptional relationship-building and cross-functional influence skills

• Strong program and project management capabilities, with experience building scalable systems and processes

• Experience developing high-impact customer content programs with sustained production velocity

• Demonstrated ability to design measurement frameworks and executive-facing reporting

• Confidence working directly with senior leaders and customer executives

• Ability to balance strategic vision with hands-on execution in a fast-paced environment

• Excellent written, verbal, and presentation skills

• Highly organized, proactive, and effective at managing competing priorities

• Entrepreneurial mindset with a passion for building new programs

• Comfort operating in a fully remote, globally distributed, asynchronous environment

What Will Make You Stand Out

• Deep experience building mature, scalable customer advocacy ecosystems

• Strong executive presence and credibility with internal and external stakeholders

• A data-driven mindset with a passion for measurement, optimization, and continuous improvement

• Proven ability to create systems that improve visibility, accountability, and efficiency

• A strong personal brand as a collaborative, trusted partner across the organization

• Demonstrated success acting as a public-facing brand ambassador

• History of building innovative storytelling formats and customer engagement models

Qualifications

• 5+ years experience in customer marketing or customer advocacy roles

• Tech industry experience (SaaS preferred; data industry a plus)

• Proven track record of growing program ownership and responsibilities (agency/vendor management experience a plus)

Remote Hiring Process

• Interview with a Talent Acquisition Partner

• Interview with Hiring Manager

• Take Home Task

• Team Interviews with close stakeholders and leaders

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, Austin, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.

• The typical starting salary range for this role is: $148,000 - $179,000 USD

• The typical starting salary range for this role in the select locations listed is: $164,000 - $199,000 USD

#LI-LC1

dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences.

Even if your experience doesn’t perfectly align with the job description, we encourage you to apply,we value potential just as much as a perfect resume.

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

dbt Labs reserves the right to amend or withdraw the posting at any time.

For employees outside the United States, dbt Labs offers a competitive benefits package.

RSUs or comparable benefits may be offered depending on the legal or country limitations.

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We're looking for an Enterprise Account Executive to grow and manage our enterprise customer base in DACH. As a proactive and curious member of our growing Sales team, you will identify new business with prospects and growth opportunities for clients.

In this role, you can expect to:

• Build, manage and close your own pipeline of companies that you believe will benefit from the dbt Cloud offering
• Manage, and deepen the dbt Cloud footprint in existing accounts, optimizing our impact on these companies
• Engage with technology partners and ecosystem service providers to optimize our impact and reach in the region
• Lead and contribute to team projects that develop our sales process
• Work with product to build and maintain the dbt Cloud enterprise roadmap

We're looking for someone who has:

• Demonstrable ability of building and closing your own pipeline within enterprise accounts
• 4+ years closing experience in technology sales, with a proven track record of exceeding annual targets
• Ability to understand complex technical concepts and develop them into a consultative sale
• Excellent verbal, written, and in-person communication skills to engage stakeholders at all levels of an analytics organization (individual developer up to CTO)
• The diligence and organizational skills to work long, intricate sales cycles involving multiple client teams
• Ability to operate in an ambiguous and fast-paced work environment
• A passion for being an inclusive teammate and involved member of the community
• Experience with SQL or willingness to learn

You have an edge if you have:

• Prior experience in analytics, ETL, BI, and/or open-sourced software
• Knowledge of or prior experience with dbt

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 Lab's total rewards during your interview process.

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dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.

We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

• Reliable, high-quality data is the fuel that propels AI-powered data engineering.

• AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.

• We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.

dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started..

We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.

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

• Task

• Task Review

• Final Values 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

• 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 in the specific locations listed is: $163,000 - $200,000

• The typical starting salary range for this role is: $146,000 - $180,000

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dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. As of February 2025, we've surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers.

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 organisational knowledge.

Responsibilities

• 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 prioritise 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 organisational 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 organisational challenges, and propose thoughtful, iterative solutions

• The ability to thrive in a remote organisation 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

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dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases. As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.

As a Senior Product Marketing Manager at dbt Labs, you will play a pivotal role in shaping the market perception of dbt,the industry standard that helps organisations build, manage, and analyse data at scale for analytics and AI,building compelling narratives, driving product adoption, and shaping how our products are used and understood by our enterprise customers. This role is perfect for someone who’s as comfortable digging into the details of dbt features and our users’ needs as they are with telling a big-picture story about where our platform and industry are headed.

Responsibilities

• Drive the go-to-market strategy for dbt, and specifically features that position dbt for AI workflows and use cases, working closely with Product, Marketing, and Field teams to identify and address target buyer personas, challenges, and opportunities.
• Craft product positioning and messaging with clear, differentiated positioning for dbt, grounded in customer insights, market context, and roadmapped innovations.
• Develop and execute marketing campaigns that clearly articulate the value and unique advantages of dbt.
• Collaborate closely with Product and Engineering to shape product strategy, using competitive, customer, and market insights to influence our product roadmap.
• Create and maintain a core bill of materials including web content, messaging guides, solutions briefs, product videos, pitch decks, email sequences, and internal enablement materials for the dbt.
• Develop and execute product launch and campaign strategies that drive pipeline for net new customer and expansion opportunities.
• Create and maintain internal sales tools like playbooks that reflect a high degree of customer understanding and empathy.
• Work with Revenue Marketing teams to ensure strategic narratives and product messaging are delivered consistently at every touchpoint.
• Measure and report on the effectiveness of marketing campaigns, using insights to drive continuous improvement.

Qualifications

• 4+ years of experience in product marketing, preferably within the data analytics domain.
• A proven track record of developing and executing successful marketing campaigns for B2B software products.
• Strong understanding of the data analytics industry and its challenges, with the ability to translate complex concepts into clear, compelling messaging.
• Exceptional written and verbal communication skills, with a talent and passion for storytelling.
• Experience working with cross-functional teams, demonstrating strong leadership and collaborative abilities.
• Demonstrated analytical skills, with the ability to leverage data to inform marketing strategies and decisions.

Preferred upcoming

• Prior experience working at a data analytics, AI, and/or open source software company
• Familiarity with the modern analytics stack, and a strong grasp of market dynamics within it
• Experience as an end-user of dbt, and/or experience as a data analyst, data engineer, or data scientist

Compensation & Benefits

• Annual Salary: $150,000 - $200,000 USD
• Equity Stake
• Benefits

dbt Labs offers:

• Unlimited vacation (and yes we use it!)
• 401k
• Pension Plan
• 16 weeks Paid Parental Leave
• Wellness stipend
• Home office stipend, and more!

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

What to expect in the hiring process

• Interview with Talent Acquisition Partner
• Interview with Hiring Manager
• Team Interviews
• Final Round Values Interview

dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences.

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We're looking for a Partner Solutions Architect to join the Field Engineering team and help scale dbt's partner go-to-market motion across North America. This role is focused on building technical and commercial momentum with both consulting and technology partners.

As a Partner Solutions Architect, you will work closely with Partner Development Managers to drive partner capability, field alignment, and pipeline across strategic SI and consulting partners as well as key technology partners such as Snowflake, Databricks, and Google Cloud. Internally, this role sits at the intersection of Field Engineering, Partnerships, Sales, Product, and Partner Marketing.

Responsibilities

• Partner closely with North America Partner Development Managers to execute joint GTM plans across technology and SI/consulting partners.
• Build trusted technical relationships with partner architects, sellers, and practice leaders
• Run partner enablement sessions, workshops, office hours, and hands-on technical trainings to improve partner capability and field readiness
• Support account mapping and seller-to-seller alignment between dbt and partner field teams to uncover and accelerate pipeline
• Help create and refine repeatable sales plays across themes like core-to-cloud migration, modernization, AI-ready data foundations, marketplace, semantic layer, and partner platform adoption
• Support partner-led and tri-party pipeline generation efforts including QBRs, innovation days, lunch-and-learns, hands-on labs, and local field events
• Equip partner teams with the technical messaging, demo narratives, architectures, and customer use cases needed to position dbt effectively
• Collaborate with dbt Account Executives, Sales Engineers, and regional sales leadership to drive co-sell execution in target accounts
• Act as a technical bridge between partners and dbt Product / Engineering by surfacing integration gaps, field feedback, competitive insights, and roadmap opportunities
• Serve as an internal subject matter expert on dbt’s major technology partner ecosystem, especially Snowflake, Databricks, and Google Cloud
• Contribute to the scale motion by helping build collateral, playbooks, enablement assets, and best practices that raise the bar across the broader Partner SA function

Requirements

• 5+ years of experience in solutions architecture, sales engineering, consulting, partner engineering, or another customer-facing technical role in data and analytics
• Strong hands-on background in SQL, data modeling, analytics engineering, and modern data platforms
• Ability to clearly explain modern data stack architectures and how dbt fits across warehouses, lakehouses, semantic layers, and AI-oriented workflows
• Experience translating technical capabilities into clear business value for both technical and non-technical audiences
• Comfort operating in highly cross-functional environments across Sales, Partnerships, Product, and Marketing
• Strong presentation, workshop, and facilitation skills, including external enablement and customer-facing sessions
• Proven ability to drive outcomes in ambiguous, fast-moving environments with multiple stakeholders
• Experience supporting complex enterprise buying motions, proof-of-value work, or partner-influenced sales cycles
• Strong written communication skills for building collateral, technical narratives, and partner-facing content
• A collaborative mindset and a desire to help scale best practices across a growing team

What will make you stand out

• Experience working directly in partner, alliance, or ecosystem roles
• Experience with Snowflake, Databricks, BigQuery / Google Cloud, AWS, or Microsoft Fabric in a GTM or solutions context
• Experience enabling systems integrators, consulting firms, or technology partner field teams
• Familiarity with cloud marketplace motions, co-sell programs, and partner-sourced pipeline generation
• Prior experience with dbt, analytics engineering workflows, or adjacent tooling in transformation, orchestration, governance, or metadata
• Strong instincts for identifying repeatable plays that connect enablement activity to measurable pipeline outcomes
• Ability to influence both strategy and execution, from partner messaging and field enablement to product feedback and GTM refinement
• A track record of building credibility quickly with partner sellers, partner architects, and internal field teams

Benefits

• Unlimited vacation (and yes we use it!)
• Pension coverage
• Excellent healthcare
• Paid Parental Leave
• Wellness stipend
• Home office stipend, and more!

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