Fivetran

Business Development Representative, Enterprise

USA - Austin (dbt) · Full-time

Sponsorship not specified$28k-$33kDetected 5 days ago

SnowflakeDatabricksdbtData EngineeringSalesforceSalesBusiness DevelopmentOutbound SalesResearchLeadershipCommunicationCollaborationMentoringOrganizational Skills

About the role

We're looking for a mid-senior level Business Development Representative (BDR) to join our Austin, Texas office and help accelerate pipeline generation across our Commercial and Enterprise business segments.
This role is ideal for someone with 9+ months of experience in technology sales who thrives in outbound prospecting, account research, and consultative discovery conversations.
You'll work directly with modern data leaders and technical buyers at fast-growing and enterprise organizations evaluating cloud data infrastructure, analytics modernization, AI initiatives, and data integration strategies.

Responsibilities

Partner closely with Account Executives to build account strategies and prioritize opportunities
Maintain accurate activity, contact, and opportunity data within Salesforce
Collaborate cross-functionally with Marketing, Partnerships, and Sales leadership
Company virtual happy hours, free food, and fun team-building activities

Nice to have

Experience selling into data, analytics, cloud, or infrastructure teams is a strong plus.

Skills

9+ months of experience in SaaS, cloud, infrastructure, or technology sales development
Strong written and verbal communication skills with the ability to engage technical and business stakeholders
Ability to learn and articulate technical concepts related to data, analytics, cloud, and AI infrastructure
Experience with outbound prospecting and multi-threaded account engagement
Comfortable using AI tools such as ChatGPT or sales engagement platforms to improve research, messaging, and productivity
Coachable, curious, resilient, and motivated by a high-performance sales environment
Experience selling into data, analytics, engineering, or IT organizations
Familiarity with modern data stack technologies such as Snowflake, Databricks, dbt, or cloud data warehouses
Experience using Outreach, Sales Navigator, ZoomInfo, or Gong
Previous experience working in a high-growth SaaS environment
Demonstrated success exceeding outbound pipeline generation targets
100% employer-paid medical insurance *

Compensation

OTE (On Target Earning)
$83,201.66 - $98,059.10 USD

Benefits

Perks and Benefits
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants*
Monthly cell phone stipend
Click here to learn more about Fivetran's Benefits by Region.
We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities.

Company info

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data - from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
to make access to data as simple and reliable as electricity.
With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required.
We're proud that more organizations continue to leverage our technology every day to become truly data-driven.
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data - from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights.
Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust.
It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
Fivetran and dbt
we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

Equal opportunity

Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not o

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This listing is sourced directly from Fivetran's careers page and normalized into a canonical job model.