Customer Success Architect - dbt Labs

Employment Type: Full-time Location: Remote in Australia

About Us

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 50,000 teams every week.

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Cloud customers, including JetBlue, HubSpot, Vodafone New Zealand, and Dunelm. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.

At our core, we believe in empowering data practitioners:

• Code-based data transformations unlock transparency, flexibility, and collaboration
• Analysts should adopt software engineering best practices to build trusted data products
• Core analytics infrastructure should be open source and user-controlled
• Analytic code—not just tools—should be shared and community-driven

dbt 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

Your role as a Customer Success Architect is to help current customers gain the most value from their dbt Cloud deployment, in partnership with the Sales Director and Solutions Architect on the account. To achieve this, 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. Your end goal will be to drive customer satisfaction, resulting in renewal and expansion among our existing customers.

Internally, you will help our team by acting as the voice of the customer to ensure that we continue to build product that solves real problems and delights our customers, and be an integral part of the early Customer Solutions Architect team as we continue to build out our processes and playbooks.

This person must be based in Australia and will work with APAC commercial and enterprise customers.

What You'll Do

• Manage Customer Portfolio: 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.
• Build Customer Relationships: 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.
• Drive Value & Adoption: 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 Internally: 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.
• Customer Advocacy: 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.
• Process Improvement: Participate in the knowledge loop helping to improve our processes and assets and enabling others on the team.
• Content Creation: Create and deliver external facing content through live events, blog posts, recorded tutorials, or other content.

What You'll Need

• Experience: 3+ years of experience in a post-sales role, such as a technical account manager or CSE, or as a data practitioner.
• Technical Background: A solid technical background, with a firm understanding of modern data warehousing architectures, the analytics stack, and SQL proficiency.
• Communication Skills: High degree of comfort... (rest of sentence was cut off)