About the role

SLSQ127R124

As we continue to increase our presence in the world of Unified Data Analytics and AI, we're looking for a creative, driven, and execution-oriented Start-up Account Executive to sell to the ANZ market and maximise the huge market opportunity that exists for Databricks today.

As a Start-up Account Executive reporting to the Senior Sales Director, you will have experience selling in the ANZ market. Your informed point of view on Big Data and Advanced Analytics will guide your successful sales strategy together with our teams and partners, allowing you to provide value to our biggest and most valued customers.

The impact you will have:

Evangelise Databricks' Unified Analytics Platform powered by Spark and launch the Databricks brand in Enterprise Accounts across all industries
Prospect, identify and source new sales opportunities, building pipeline individually and with the Databricks SDR team
Engage with business and technical decision-makers and lead them through the evaluation and buying process
Exceed individual activity, pipeline and annual revenue targets
Engage with and drive business through local partners (technology partners, ISVs, SIs and GSIs)
Drive customer success and upsell existing customers
Create a Territory Strategy focused on ANZ across all industries

What we look for:

2+ years of experience selling SaaS solutions to Enterprise and/or Digital Native Customers in ANZ
Proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology
Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology
Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)
Ability to simply articulate intricate cloud & big data technologies and their business value for the customer

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 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 & Tags

go ai data analytics sales

Aplyr's read

Databricks is a hub for data-driven innovation, attracting talent in AI and big data to transform how organizations leverage data for strategic decisions.
Synthesized from recent postings & public sources

What's promising

•Databricks offers a cutting-edge platform integrating data science, engineering, and business analytics.
•The company is a leader in big data and AI, driving significant industry advancements.
•Strong emphasis on collaboration attracts top-tier talent in data analytics and AI fields.

What to watch

•High competition in cloud data analytics could impact market share.
•Rapid scaling may strain internal resources and affect company culture.
•Dependence on cloud infrastructure partners presents potential operational risks.

Why Databricks

•Databricks' Lakehouse architecture uniquely combines data lakes and warehouses.
•Focus on AI efficiency and optimization differentiates its research initiatives.
•Collaborative workspace design fosters innovation across diverse data teams.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Databricks

Databricks

databricks.com

View company

Databricks is a unified data analytics platform that accelerates innovation by unifying data science, engineering, and business. It provides a collaborative workspace for data teams to work with big data and AI, enabling organizations to make data-driven decisions.