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Enterprise sales director

Melbourne
dbt Labs, Inc.
Sales Director
Posted: 9 June
Offer description

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.

Location: Melbourne

About the Role

We're looking to hire an Enterprise Sales Director to join the Revenue Team. This person will be responsible for building out our enterprise customer base within various regions in Australia. The ideal candidate will be proactive and curious, identifying new business with prospects and growth opportunities for clients. A certain level of foresight and knowledge of intrinsic sales cycles will enable this individual to confidently navigate the future of dbt Labs.

What You'll Do

* 6+ 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 an involved member of the community.
* Experience with SQL or willingness to learn.

What You'll Need

* Own the full sales cycle from lead to ongoing utilization for commercial prospects.
* Organize POC implementations of dbt Cloud Enterprise.
* Lead and contribute to team projects that develop our sales process.
* Work with product to build and maintain the dbt Cloud commercial roadmap.
* Become an expert in SQL, dbt, and commercial data operations.
* Be an active member of the dbt open source community.

What Will Make You Stand Out

* 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, equity, and where applicable, performance‐based pay. 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.

$400,000 - $500,000 AUD

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.

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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