Financial Data Sales Associate

Responsibilities

• Own the technical sales process, including answering customer inquiries, providing data samples, and resolving data-related issues.
• Create market data use-cases and common examples using Python, C++, and/or Rust.
• Gather customer feedback, testimonials, and case studies to support growth.
• Maintain accurate forecasting and record-keeping by keeping the CRM up-to-date.
• Build and maintain executive relationships across the industry and with key partners.
• Stay current on industry trends, market dynamics, and competitor activities to identify new opportunities.
• Collaborate with internal teams to align sales efforts with company objectives and ensure a seamless customer experience.

Requirements

• Proven experience managing the end-to-end sales pipeline (top-of-funnel, upselling, and forecasting).
• Strong understanding of quantitative trading and market microstructure.
• Technical proficiency in Python, C++, or Rust to assist with client inquiries and use-case creation.
• Experience with HubSpot automation and meticulous record-keeping.
• Professional communication skills suitable for an institutional financial product.
• Ability to manage the sales cycle with a "white-glove" approach, focusing on customer pain points and honest product fit.
• Readiness to thrive in a fast-paced startup environment.

Preferred Qualifications

• Active usage of GitHub.
• Deep technical knowledge of market data delivery and API integration.

About the Company

Databento is a next-generation market data provider built on the principle that users should only pay for the data they use. We power the world's largest finance and fintech institutions while lowering the barrier to entry for startups. Our team consists of industry veterans from leading quantitative firms such as Two Sigma, Flow Traders, and Tower Research. We are a 100% remote company.