Databricks

HQ
San Francisco
Total Offices: 8
2,200 Total Employees
Year Founded: 2013

Databricks Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers supplemental life insurance

Offers disability insurance

Provides a pension

Offers accidental death & dismemberment insurance

Offers company equity

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Provides family medical leave

Provides fertility benefits

Offers generous parental leave

Company Culture

Provides commuter benefits

Offers travel concierge services

Provides free snacks and drinks

Offers a remote work program

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Recently posted jobs

2 Days AgoSaved
In-Office or Remote
3 Locations
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Lead technical pre-sales engagements for Databricks with Financial Services customers. Design distributed data architectures, implement proofs-of-concept, demo reference architectures, consult on data engineering, analytics, ML and generative AI use cases, and support adoption across cloud platforms while building customer relationships and collaborating with sales and product teams.
2 Days AgoSaved
In-Office or Remote
New York, NY, USA
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Enterprise Account Executive selling Databricks into CMEG enterprise accounts: build executive relationships, drive value-based growth, expand footprint, exceed pipeline and revenue targets, manage forecasting in Salesforce, and promote Databricks platform (Spark/Delta Lake).
2 Days AgoSaved
In-Office
New York, NY, USA
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Lead development of CustomerLake personalization using ML and LLMs: evaluate and improve models in production, build evaluation and optimization frameworks tied to business metrics, partner with product and design to deliver scalable MVPs, and set technical best practices for ML/AI personalization.