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Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Enterprise Account Executive responsible for expanding Databricks’ footprint with existing customers, converting prospects, driving platform consumption, and closing strategic committed deals. Duties include prospecting, account and territory planning, pipeline management in Salesforce, proof-of-concept development, executive engagement, and coordinating with technical and customer success teams. The role requires enterprise technology sales experience, strong prospecting and engagement skills, technical understanding of data and AI platforms, and travel of up to 50%.
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Designs and demonstrates Databricks data and AI solutions for customers, partnering with account executives on technical sales. Builds trusted client relationships, develops reference architectures and proof-of-concept applications, leads workshops, and advises on big data analytics, architecture, implementation, and cloud technologies.
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Architect and productionize ML and GenAI solutions on the Databricks platform (RAG, agents, LLMs, MLOps). Guide customers and Solution Architects through design, optimization, monitoring, and deployment of end-to-end ML pipelines, collaborate with product and engineering, mentor SMEs, and support technical pre/post-sales engagements.
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Drive sales and partnerships within the Public Sector by leveraging Databricks' platform, managing relationships with stakeholders, and executing end-to-end sales cycles.
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Build trusted customer relationships and provide technical guidance on Databricks’ Data Intelligence Platform. Partner with account executives to conduct technical sales, discover use cases, scope solutions, and design complex architectures. Create reference architectures, tutorials, demos, and proofs of concept using big data analytics and public cloud technologies. Lead customer workshops, seminars, and meetups while developing expertise in data architecture, implementation, and industry-specific solutions.
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