Senior Manager of Account Management, Enterprise
Dandy- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess a proven track record as a revenue leader with experience managing high-performing account management teams, demonstrating at least 5 years of leadership experience in account management and 6+ years of experience in quota-carrying roles. They should also be skilled in client relationship management, with a demonstrated ability to drive renewals and expansion, and adept at navigating complex client relationships.
As the Director of Account Management, responsibilities include leading and developing a team of Corporate AEs, setting strategy and execution plans to achieve revenue goals, owning the renewal process to ensure value and adoption, driving upsell opportunities by identifying additional client needs, building and maintaining relationships with key decision-makers, and collaborating cross-functionally with various teams to ensure clients receive high-value insights and support. Implementing best practices and data-driven strategies to enhance account management performance is also a key duty.
Data analysis and research services provider
YipitData provides data analysis and research services by converting large amounts of raw data from various sources into clear and actionable insights. These insights help clients, primarily investors and corporate entities, understand market trends and company performance. YipitData operates on a subscription model, offering clients regular datasets and reports that include updates on various sectors such as autos, marketplaces, and logistics. Each subscription provides tailored information with three layers of coverage to meet specific client needs. The company differentiates itself by offering deep dives into topics, continuous tracking of metrics, and data integration best practices, ensuring clients have access to relevant and detailed information. The goal of YipitData is to empower clients to make informed decisions based on comprehensive data analysis.