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Enterprise Sales Director at Fivetran - ApplyBlast

Enterprise Sales Director

Fivetran

4 months ago

3.6 on Glassdoor

Australia

Hybrid

Full Time

Senior

0 applicants

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About this role

Fivetran and dbt Labs are hiring an Enterprise Sales Director to lead revenue growth by building their enterprise customer base across Australia. The role involves managing complex, long-term sales cycles, conducting proof of concept implementations for dbt Cloud Enterprise, and collaborating with product teams on commercial roadmaps. Prospective candidates must possess deep technical acumen to consult with stakeholders ranging from individual developers to C-level executives in analytics and data organizations.

Responsibilities

Build and expand the enterprise customer base within the Australian region
Manage complex sales cycles involving multiple stakeholder teams and long timelines
Conduct and organize proof of concept implementations for dbt Cloud Enterprise
Collaborate with product teams to shape the dbt Cloud commercial roadmap
Develop deep expertise in SQL, dbt, and commercial data operations

Skills

Qualifications

Bachelor's degree in Business, Computer Science, or related field6+ years of experience in technology sales with a proven track record of exceeding annual targets

About Fivetran

fivetran.com

Headquarters

Oakland, California, United States

Company Size

1001-5000 employees

Founded

2012

View Profile

Fivetran is an automated data movement platform that centralizes data from applications, databases, and event streams into cloud data warehouses and lakes. It provides fully managed connectors that continuously extract, load, and adapt to schema changes, with built-in reliability, security, and integrations with transformation tools like dbt. Designed for analytics and data engineering teams, Fivetran minimizes pipeline maintenance so organizations can focus on analysis rather than infrastructure. Customers use it to accelerate time-to-insight across destinations such as Snowflake, BigQuery, Redshift, and Databricks.