Currently tracking 66 active AI roles, down 30% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$425k (avg $220k).
| Title | Stage | AI score |
|---|---|---|
| Solutions Architect Solutions Architect role focused on pre-sales for large enterprises, driving adoption of Databricks' ML & AI products. The role involves defining technical strategy, building relationships with executives, and understanding the application of ML & AI in various use cases. While not directly building models, a strong technical understanding of ML & AI is required. | — | 5 |
| Technical Program Manager, Professional Services - LATAM Technical Program Manager for Professional Services at Databricks, focusing on LATAM customer engagements. The role involves technical leadership, guiding architectural decisions, risk mitigation, and managing project scope, schedule, budget, and resources. While not hands-on coding, technical acumen is crucial for guiding complex engagements and ensuring successful delivery of Databricks' Data Intelligence Platform. | — | 0 |
| Lead Engagement Manager, LATAM Lead Engagement Manager for Databricks' Professional Services in LATAM, focusing on delivering complex, multi-quarter initiatives, driving regional impact, and shaping sales strategy for Professional Services & Training offerings. Requires extensive leadership experience, expertise in Databricks architecture, and strong client relationship management. |
| — |
| 0 |
| Legal Counsel (Latin America) Legal Counsel for Databricks' commercial business in Latin America, focusing on negotiating and drafting cloud services agreements, DPAs, NDAs, SOWs, and AI Terms. Requires 4+ years of commercial legal transactional experience in LatAM, with knowledge of data privacy, information security, AI, and IP. | — | 0 |
| Geo Hunter Account Executive Databricks is seeking an experienced Geo Hunter Account Executive for their LATAM team in Brazil. The role involves selling Databricks' enterprise cloud data platform, focusing on closing new accounts, increasing consumption, and creating new workloads in existing accounts. The ideal candidate has a background in field sales within big data, Cloud, and SaaS, with strong customer relationships and the ability to articulate complex cloud technologies. | — | 0 |