Technical Account Manager (Austin)
About Us
About the role:
Your role as a TAM 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 TAM team as we continue to build out our processes and playbooks. This person will be based in Austin and will be in office 2 days per week.
In this role, you can expect to:
- 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
You are a good fit if you have:
- 2+ years of experience in a post-sales role, such as a technical account manager or CSE, or as a data practitioner
- 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 TAM 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. While we work in a remote first company, we value the power of in-person relationship building, both internally and externally, so a willingness to travel to external and internal events is required.
You'll have an edge if you have:
- 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:
- Equity Stake
- Benefits - dbt Labs offers:
- Unlimited vacation (and yes we use it!)
- 401k w/ 3% guaranteed contribution
- Excellent healthcare
- Paid Parental Leave
- Health & Wellness stipend
- Home office stipend, learning and development stipend, office space stipend, and more!
What to expect in the hiring process (all video interviews unless accommodations are needed):
- Interview with Talent Acquisition Partner
- Interview with Hiring Manager
- Follow-up task and task review call
- Team interview round
Who we are
At dbt Labs, we have developed strong opinions on how companies should practice analytics.
Specifically, we believe that:
- Code-based transformations offer unmatched flexibility and transparency across various “multi-player” development to power everyone in the organization to collaborate on a common language
- Data analysts should adopt similar practices and tools to software developers
- Critical analytics infrastructure should be controlled by its users as open source software
- Analytic code itself — not just analytics tools — will increasingly be open source
It turns out that a lot of other people believe this too! Today, there are 30,000 companies using dbt every week, 100,000 dbt Community members, and 4,100 companies paying for dbt Cloud. Our customers include JetBlue, Hubspot, Vodafone New Zealand, and Dunelm. dbt is synonymous with the practice of analytics engineering, defining an entire industry. We’re backed by top investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.
dbt Labs is an equal opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, color, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. We feel strongly that whether or not your experience exactly fits the job description, your passion and skills will stand out and set you apart even if your career has taken some twists and turns. If you are on the fence about whether you meet our requirements, we encourage you to apply anyway! Please reach out to us directly at recruiting@dbtlabs.com if you need assistance or an accommodation.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page here.
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. Equity or comparable benefits may be offered depending on the legal or country limitations.
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