Databricks
Location(s): Central US (Remote) - Chicago, St. Louis, Cincinnati, Kansas City, Indianapolis, Oklahoma City. While candidates in these locations are encouraged, we also welcome remote candidates from other U.S. cities.
REQ ID: FEQ426R650
Mission We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and most important accounts, leading to broader use of our products and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success. While you work with a team that builds proofs of concept and demonstrates Databricks' products, you must be technical and understand the relevance and application of ML & AI across use cases in the high-tech and manufacturing space.
Outcomes
You work with multiple clients as the main technical voice for Databricks.
You lead your customers on a transformational journey, helping them evaluate and adopt Databricks as part of their strategy.
You implement the technical strategy in the account, fully aligning with the overarching strategy.
You build a movement of technical champions within the account.
You align technical strategies around Databricks solutions.
You provide structured mentorship for other team members.
You gain the respect of your peers based on your experience, insight, and contributions.
Competencies
Proficiency at establishing and leading virtual teams to success within the account.
Experience working with very large (> $1m ARR), global accounts.
Ability to form relationships with executives and influencers.
Present a convincing point-of-view to decision-makers that leads them toward success.
Technical expertise in big data, data science, and cloud environments.
Experience in data‑driven business transformation and driving change with data.
Production programming experience in Python, R, Scala, or Java.
Nice to have: Databricks Certification.
Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors including job‑related skills, experience, certifications, and work location.
Zone 2 Pay Range: $161,300 – $225,800 USD
Zone 3 Pay Range: $161,300 – $225,800 USD
Zone 4 Pay Range: $161,300 – $225,800 USD
About Databricks Databricks is the data and AI company. Over 10,000 organizations worldwide – including Comcast, Condé Nast, Grammarly, and more than 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 global offices and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow.
Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion We are committed to fostering a diverse and inclusive culture where everyone can excel. Our hiring practices are inclusive and meet equal employment opportunity standards. We consider applicants 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, the Employer may, at its discretion, decide not to proceed with an applicant based solely on this requirement.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Software Development
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REQ ID: FEQ426R650
Mission We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and most important accounts, leading to broader use of our products and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success. While you work with a team that builds proofs of concept and demonstrates Databricks' products, you must be technical and understand the relevance and application of ML & AI across use cases in the high-tech and manufacturing space.
Outcomes
You work with multiple clients as the main technical voice for Databricks.
You lead your customers on a transformational journey, helping them evaluate and adopt Databricks as part of their strategy.
You implement the technical strategy in the account, fully aligning with the overarching strategy.
You build a movement of technical champions within the account.
You align technical strategies around Databricks solutions.
You provide structured mentorship for other team members.
You gain the respect of your peers based on your experience, insight, and contributions.
Competencies
Proficiency at establishing and leading virtual teams to success within the account.
Experience working with very large (> $1m ARR), global accounts.
Ability to form relationships with executives and influencers.
Present a convincing point-of-view to decision-makers that leads them toward success.
Technical expertise in big data, data science, and cloud environments.
Experience in data‑driven business transformation and driving change with data.
Production programming experience in Python, R, Scala, or Java.
Nice to have: Databricks Certification.
Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors including job‑related skills, experience, certifications, and work location.
Zone 2 Pay Range: $161,300 – $225,800 USD
Zone 3 Pay Range: $161,300 – $225,800 USD
Zone 4 Pay Range: $161,300 – $225,800 USD
About Databricks Databricks is the data and AI company. Over 10,000 organizations worldwide – including Comcast, Condé Nast, Grammarly, and more than 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 global offices and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow.
Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion We are committed to fostering a diverse and inclusive culture where everyone can excel. Our hiring practices are inclusive and meet equal employment opportunity standards. We consider applicants 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, the Employer may, at its discretion, decide not to proceed with an applicant based solely on this requirement.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Software Development
#J-18808-Ljbffr