Full-Time

Technical Account Manager

Austin

Posted on 7/24/2024

dbt Labs

dbt Labs

501-1,000 employees

Cloud-based platform for data management

Data & Analytics
Enterprise Software

Junior, Mid

Austin, TX, USA

Requires in-office presence in Austin for 2 days per week.

Category
Customer Success Management
Sales & Account Management
Required Skills
Sales
SQL
Data Analysis
Requirements
  • 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.
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

GetDBT.com is a cloud-based data management platform that helps companies improve their data development processes. It allows users to write business logic more efficiently, enhances code reusability, and supports quick onboarding of new data developers. The platform stands out by focusing on scalability and complexity, offering features for team unification and process standardization. GetDBT.com aims to empower businesses to manage their data effectively while ensuring data quality and governance.

Company Stage

Series D

Total Funding

$403.1M

Headquarters

Philadelphia, Pennsylvania

Founded

2016

Growth & Insights
Headcount

6 month growth

17%

1 year growth

33%

2 year growth

30%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for data transformation tools boosts dbt Labs' market potential.
  • Partnerships with companies like Fivetran enhance dbt Labs' ecosystem.
  • New dbt Cloud features integrate analytics engineering with existing workflows.

What critics are saying

  • Increased competition from Fivetran's orchestration integration may erode market share.
  • New executive appointments could lead to strategic misalignments during transitions.
  • Complexity of dbt Mesh may challenge users unfamiliar with advanced data modeling.

What makes dbt Labs unique

  • Dbt Labs offers a unique open-source analytics engineering tool for data transformation.
  • The platform supports modular and reusable code, enhancing data development efficiency.
  • Dbt Mesh allows multi-project architecture, supporting complex data environments.

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