
Job Overview
Location
Remote Dubai
Job Type
Full-time
Category
Sales
Date Posted
April 16, 2026
Full Job Description
đź“‹ Description
- • The Account Executive at DataRobot is responsible for generating new business by acquiring net-new customers within assigned territories, focusing on high-velocity pipeline creation, qualifying GenAI use cases, and closing initial land deals across DataRobot’s platform and packaged applications.
- • Day to day, the role involves owning the full sales cycle for new logos, partnering with Business Development Reps to prioritize accounts and develop prospecting strategies, leading discovery to map business problems to DataRobot’s GenAI and SAP solutions, managing opportunity progression and forecasting, and ensuring smooth cross-functional handoffs to post-sales teams.
- • DataRobot delivers AI that maximizes impact and minimizes business risk, empowering practitioners and leaders to develop, deploy, and govern AI at scale. The company operates globally with a strong focus on innovation, customer success, and inclusive hiring practices, encouraging applications from underrepresented groups.
- • In this role, the person can develop expertise in selling complex SaaS and AI solutions, build a track record in net-new logo acquisition in the Middle East market, grow consultative selling skills around ROI and business use cases, and advance their career in enterprise sales within a high-growth AI leader.
Skills & Technologies
About DataRobot, Inc.
DataRobot provides an enterprise AI platform that automates the end-to-end process for building, deploying, and managing machine-learning models at scale. Founded in 2012, the company serves industries including finance, healthcare, retail, and manufacturing, enabling data scientists and business analysts to create predictive analytics without deep coding expertise. The platform integrates with existing data infrastructure, offers governance and monitoring tools, and supports on-premise, cloud, and hybrid deployments. DataRobot emphasizes responsible AI practices and model interpretability to help organizations operationalize artificial intelligence while maintaining compliance and transparency.
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