Top Tech Jobs & Startup Jobs

The Business Operations Manager will design and implement data-driven systems for revenue-aligned operations in the APJ region, focusing on automation and analytics.

Lead the Public Sector sales team, achieve quotas, implement sales plans, forecast revenue, and cultivate customer relationships.

The Strategic Account Executive will acquire new enterprise accounts, develop growth strategies, and establish C-Level relationships in the Digital Natives sector. They will drive revenue by managing complex sales cycles and creating long-term partnerships through tailored solutions.

In this customer-facing role, you will architect solutions, execute proofs of concept, and coach clients on leveraging the Databricks platform for data solutions. Responsibilities include collaborating with sales, providing technical leadership, and promoting open-source projects to enhance customer outcomes.

The role involves developing customer engagement strategies, coaching teams, influencing stakeholders, designing data analytics architecture, and leading technical community engagement.

The Digital Native Account Executive will drive sales, acquire new customers, engage with business decision makers, and develop partnerships to boost revenue for Databricks in the enterprise segment.

As a Scale Solutions Engineer at Databricks, you will help onboard customers, provide technical guidance, and ensure a smooth deployment experience with the Databricks Platform.

Customer-facing Solutions Architect guiding technical evaluation and adoption of Databricks Lakehouse. Provide architecture design, hands-on Apache Spark programming, cloud integration (AWS/Azure/GCP), reference architectures, demos, and workshops to help customers solve big data, analytics, and AI problems.

Own the AI platform product roadmap, drive strategy for ML/AI infrastructure (training, serving, monitoring, vector search, feature stores), partner with engineering and GTM to operationalize AI at enterprise scale, and define pricing and commercialization to increase adoption.

Own product roadmap and strategy for Databricks AI platform capabilities across training, serving, feature stores, vector search and LLM infrastructure. Partner with engineering, GTM, and customer teams to drive enterprise adoption, pricing, and commercialization of ML/AI platform features.