OpenAI - Sales Strategy & Operations
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Requirements
• The ability to operate with high horsepower, be adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization • OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
Responsibilities
• Design, build, and manage our operating rhythms (Forecasting, Pipeline Council, Big Deal Reviews, and MBRs/QBRs). • Conduct strategic analyses to determine trends and identify opportunities for process and strategy optimization • Collaborate with GTM leadership and cross-functional stakeholders to develop go-to market strategy and resource plans • Lead strategic projects to improve efficiency and effectiveness across the revenue organization. • Partner closely with technical teams to implement processes systematically. • Work closely with the data team to ensure data accuracy and availability for revenue-related activities. • Run our fiscal launch process in partnership with finance and planning teams (e.g., launching targets, designing territory process, etc.) • You might thrive in this role if you have: • 7+ years experience in revenue operations or strategy at a high-growth, technology company • Proficiency in Salesforce.com and data analysis tools (e.g., SQL, Excel) • Strong analytical skills with a focus on attention to detail • Experience building territories, comp plans, and setting quotas for GTM teams • Exceptional project management skills, with experience leading complex, cross-functional initiatives • Strong communication skills and executive presence • An understanding of the AI landscape, our applications, and the problems they solve for our customers. • The ability to thrive in ambiguity and work autonomously
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