Business Development Representative (UKI)

Posted Yesterday
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London, Greater London, England, GBR
In-Office
Entry level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Develop sales skills while representing Databricks to prospective customers across the UK and Ireland. Research accounts, create personalized outreach campaigns, conduct inbound and outbound communications, cold call, use social selling, identify customer needs, and progress conversations into sales opportunities. Partner with the broader sales team on territory strategy, pipeline development, and platform adoption.
Summary Generated by Built In

SLSQ327R850

Databricks operates at the leading edge of the Data Analytics space with a mission to help companies solve the world’s toughest problems. We are looking for a Business Development Representative (BDR) to represent Databricks to prospective customers in the UK and Ireland! This role is perfect for a sales professional early on in their career, looking to help scale out a game-changing enterprise software company and develop their sales career. Reporting to the BDR manager, you will be part of a dynamic team of like-minded individuals and have the opportunity to make a difference in a budding regional team. This role will be hybrid in our London office.

The impact you will have:

  • Rapidly develop your skill-set around value-based selling, big data and AI
  • Provide a great customer experience for Databricks’ prospective customers
  • Conduct account and prospect research to inform and develop compelling outreach campaigns to increase engagement in a large variety of accounts
  • Maintain active inbound and outbound communications with prospects using tailored follow-up, including personalised email, cold calling and social selling
  • Partner with the wider sales team to develop a territory strategy, build a pipeline, and increase adoption
  • Uncover and identify client needs and progress conversations into sales opportunities by communicating how Databricks will meet them effectively

What we look for:

  • Relevant experience in a professional environment
  • Prior successful sales experience is preferred, but not necessary
  • Determination to succeed, learn and build the next best enterprise software company
  • Consistent, measurable over-achievement in past experiences
  • Active listening and questioning in phone-based and in-person scenarios
  • A genuine interest in big data/AI
  • Positive contributor to team and company culture 

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Skills Required

  • Relevant experience in a professional environment
  • Determination to succeed, learn, and help build an enterprise software company
  • Consistent, measurable over-achievement in past experiences
  • Active listening and questioning skills in phone-based and in-person scenarios
  • Genuine interest in big data and artificial intelligence
  • Positive contribution to team and company culture
  • Prior successful sales experience

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, and vision for employees and dependents, plus dedicated mental-health resources and an EAP. Wellness and gym reimbursements further support wellbeing.
  • Equity Value & Accessibility — Equity grants (RSUs/stock options) are highlighted as a major part of compensation and are often viewed as attractive. Occasional tender-offer liquidity and performance bonuses reinforce total rewards.
  • Parental & Family Support — Paid parental leave, fertility benefits, and subsidized backup dependent care are emphasized. Family medical leave and caregiver support also feature in the package.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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