Enable job alerts via email!
Boost your interview chances
Create a job specific, tailored resume for higher success rate.
An established industry player seeks experienced pre-sales professionals to drive data transformation for large enterprises. In this role, you will collaborate closely with Enterprise Account Executives, guiding clients through the adoption of innovative data solutions. Your expertise in big data, data science, and cloud technologies will be crucial as you lead clients on their journey to becoming more data-driven. With a commitment to mentorship and fostering technical champions within client organizations, this position offers a unique opportunity to make a significant impact in the Healthcare & Life Sciences sector. Join a forward-thinking company dedicated to simplifying data and AI for organizations worldwide.
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations across various cities in the US.
We seek experienced pre-sales professionals with a proven track record in helping large enterprises become more data-driven. Collaborating with the Enterprise Account Executive (AE), the Enterprise SA defines and guides the technical strategy for our key accounts, promoting broader adoption of our products and deeper integration of ML & AI. You should leverage your strong background in value selling, technical account management, and technical leadership to ensure success. Although you will work with a team that includes hands-on resources building proofs of concept and demonstrating Databricks' products, you must be technically proficient and understand the relevance of ML & AI across various use cases in the Healthcare & Life Sciences (HLS) sector.
The impact you will have:
What we look for:
About Databricks
Databricks is a data and AI company founded by the original creators of Apache Spark, Delta Lake, and MLflow. We simplify data and AI to enable faster collaboration and innovation. Over five thousand organizations worldwide, including Shell, Conde Nast, and Regeneron, rely on our platform for data engineering, data science, machine learning, and analytics. Headquartered in San Francisco, with offices globally, our mission is to help data teams solve the world's toughest problems. Follow us on Twitter, LinkedIn, and Facebook for updates.
Pay Range Transparency
We are committed to fair and equitable compensation. The listed pay range for this role is $139,900 — $247,300 USD, based on various factors including skills, experience, and location. Compensation may include bonuses, equity, and benefits. For more details, visit our benefits page.
Benefits
We offer comprehensive benefits tailored to regional needs. Details can be found at our benefits website.
Our Commitment to Diversity and Inclusion
We foster a diverse and inclusive culture, ensuring fair hiring practices regardless of age, gender, ethnicity, disability, or other protected characteristics.
Compliance
Access to export-controlled technology or source code may require a U.S. government license, and we reserve the right to decline applications based on this criterion.