
Job Overview
Location
Massachusetts, US - Remote
Job Type
Full-time
Category
Management
Date Posted
April 18, 2026
Full Job Description
đź“‹ Description
- • The Vice President of Revenue Operations & Strategy is a key leadership role responsible for building and optimizing the effectiveness of the sales organization in a fast-paced "AI first" environment, shaping and executing the company’s go-to-market strategy to drive revenue growth, seller effectiveness, and customer success.
- • Day to day, the role involves developing and implementing sales strategy with the CRO, leading annual sales planning (territory design, quota setting, incentive planning), overseeing revenue operations functions (forecasting, pipeline management, CRM optimization), designing enablement programs, building and mentoring a high-performing team, and collaborating cross-functionally with Product, Marketing, Customer Success, Finance, and IT to align GTM strategy and improve sales technology ecosystems.
- • DataRobot delivers AI that maximizes impact and minimizes business risk, empowering practitioners to deliver predictive and generative AI and enabling leaders to secure AI assets; the company empowers teams to develop, deliver, and govern AI at scale, with organizations worldwide relying on its platform for business-ready AI solutions.
- • The person in this role can learn to lead strategic revenue operations in a high-growth AI-driven SaaS environment, gain deep expertise in scaling sales functions, influence executive decision-making through data-driven insights, and build a legacy of operational excellence by aligning sales, marketing, product, and finance around unified GTM objectives.
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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