Note: The job is a remote job and is open to candidates in USA. Celebal Technologies is seeking an Enterprise Sales Director to lead commercial growth across enterprise accounts in the Data and AI space. The role owns regional revenue and P&L responsibility, acquires new enterprise business, expands existing accounts, drives co-selling with Databricks and Microsoft, leads solution development, and maintains rigorous forecasting and pipeline management.
Responsibilities
- Revenue & P&L Ownership: Own and deliver the regional annual revenue target ($10M–$20M+ ARR/TCV), maintaining healthy gross margins and managing the cost-of-sale budget
- New Business Acquisition (Hunting): Identify, pursue, and close greenfield enterprise deals across Fortune 500 / Global 2000 targets, engaging C-level executives (CDO, CIO, CTO, CFO)
- Strategic Account Farming: Expand wallet share within existing enterprise accounts through cross-selling, platform upsells, and managed services extensions
- Partner & Ecosystem Co-Selling: Drive joint go-to-market execution with Databricks and Microsoft field sales teams, maximizing co-sell pipeline, incentives, and cloud consumption credits
- Solution Leadership: Translate complex business challenges into high-impact solutions leveraging the Databricks Lakehouse platform, Microsoft Fabric, and modern ML/GenAI toolsets
- Forecasting & Pipeline Rigor: Maintain disciplined pipeline hygiene via CRM, managing deal stages from qualification through legal redlines and executive negotiation
Skills
- 10+ years of quota-carrying enterprise tech sales experience (SaaS, cloud solutions, or data consulting) with consistent annual over-achievement
- In-depth commercial understanding of the modern data stack: Lakehouse architecture, ETL/ELT pipelines, data governance, and generative AI enablement
- Proven co-selling experience with Databricks (Unified Data Analytics, Delta Lake) and Microsoft (Azure Data Platform, Fabric, Azure OpenAI)
- Demonstrated history closing multi-year, multi-million-dollar ($2M–$10M+) contracts with complex technical and legal stakeholders
- Hands-on ownership of P&L levers, pricing structures, consumption-based revenue models, and statement-of-work (SOW) economics
- Bachelor's degree in Business, Computer Science, Engineering, or equivalent practical experience
- MBA or technical certifications preferred
Benefits
- Remote/Hybrid
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