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Daloopa

Delivers auditable historical public-company data

Account Executive - New Business

Account ExecutiveUpdated on Nov 14
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 2 years of experience in a closing role with institutional investor financial institutions, such as buy-side firms, hedge funds, or asset managers.
  • Ability to identify participants in the buying process, solve complex problems, and sell based on value.
  • Strong communication skills and the ability to manage relationships with high-profile fund managers and analysts.
  • Ability to work independently and collaborate across teams.

Responsibilities

  • Drive new business by prospecting, qualifying, and closing net-new opportunities with senior- and executive-level buy-side contacts who influence decisions and interact with evaluation teams.
  • Maintain account records in Salesforce to measure performance and identify ways to improve efficiency and win rates.
  • Work with marketing and sales to relay client feedback for product improvement, sales efficiency, and sales strategies.
  • Develop expertise in Daloopa's product and the investment research industry.

Desired Qualifications

  • Experience or interest aligned with a fast-paced, high-growth, entrepreneurial startup environment.

About the Company

Daloopa

Delivers auditable historical public-company data

Daloopa.ai provides comprehensive, auditable historical data on public companies for financial analysts and investors. It serves large shareholders and institutions, delivering high-quality data that can be easily integrated into existing financial models. The data is accessed via a subscription, and clients can request a demo before subscribing. The product works by compiling and organizing historical company information so analysts can quickly update their investment strategies and cover more companies each quarter. Daloopa differentiates itself through the reliability and auditable nature of its data, its focus on integration with standard financial models, and its adoption by many top shareholders of major public companies. The company's goal is to help investors make informed decisions faster by providing dependable historical data that supports robust investment analysis.

Company size
501-1,000
Company stage
Series C
Total funding
$101.4M
Headquarters
New York City, New York
Founded
2019

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