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Databricks operates at the leading edge of the Data and AI space with a mission to help companies solve the world's toughest problems.
We are seeking an experienced strategic sales leader to manage and grow our Sydney based Business Development and Growth teams and help us expand our business across the ANZ region.
Reporting to the Director, Sales Development, you will be an important contributor to our sales leadership team, leading recruiting, pipeline generation / consumption growth strategy and constructive coaching for our Business Development and Growth Sales team members.
You will have experience driving pipeline generation, leading sales development teams and working with sales and marketing teams.
The impact you will have:
- Take the primary leadership role in building and scaling an outstanding team
- Support and shape the strategy for pipeline generation within ANZ
- Create innovative strategies to accelerate new customer acquisition and consumption growth
- Manage your team's pipeline target and be active in coaching team members to be successful
- Work with cross - functional regional leaders to maximise the contribution of the team
- Analyze team performance and funnel data to identify and fix inefficiencies
What we look for:
- Minimum 2 years experience as a Sales Development manager with consistent overachievement against quota
- Experience in a quota carrying, end to end sales role with consistent overachievement against quota
- Experience growing a sales development team by recruiting and developing BDRs and ISRs, focused on giving people the training and support that they need to succeed
- Proficiency in using Salesforce and Outreach.io, additional experience with other sales tools will be advantageous
- Experienced in sales processes focused around value selling, prospecting and opportunity qualification
- Ability to adapt to a fast paced environment
- Passion for cloud, big data and AI
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
Top Skills
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.
