Full-Time

Quantitative Sales Associate

Confirmed live in the last 24 hours

Databento

Databento

11-50 employees

Self-service platform for market data access

Fintech
Financial Services

Entry, Junior

H1B Sponsorship Available

Remote in USA

100% remote work is accommodated.

Category
Customer Success Management
Sales & Account Management
Required Skills
Rust
Python
Git
Hubspot
C/C++
Data Analysis
Requirements
  • Understand and communicate with our user base of developers and quants.
  • Experience with quant trading and market microstructure.
  • Extreme attention to detail and record-keeping, as well as the ability to automate processes in Hubspot.
  • Professional communication skills that align with the tone of an institutional financial product.
  • White-glove management of the sales cycle with continual buy-in from the customer, discovering the user's pain points, signs of friction, being honest when our product isn't the best fit, not being too pushy or salesy, and knowing when to continue vs. back off.
  • Readiness to work within a startup environment with limited resources and personnel.
  • As a bonus: Active usage of Github, knowledge of enough C++, Python, and/or Rust to help answer client inquiries.
Responsibilities
  • Own the technical sales process, from answering technical customer inquiries and providing data samples, to solving data-related issues that our customers raise.
  • Create common examples and use-cases with market data, with examples in Python, C++, and/or Rust.
  • Gather customer feedback, testimonials, case studies, and more.
  • Establish and maintain accurate, timely, and documented forecasting and record-keeping procedures, keeping our CRM up-to-date and organized.
  • Build a network of executive relationships across the industry and with key partners and customers.
  • Stay up-to-date with industry trends, market dynamics, and competitor activities to identify potential business opportunities and adapt sales strategies accordingly.
  • Collaborate across teams to align sales efforts with overall company objectives and ensure a seamless customer experience.

Databento provides a self-service platform that allows users to access market data quickly and easily. Users can obtain live exchange feeds and large amounts of historical data, only paying for what they actually use. This flexibility makes it appealing to a wide range of clients, from large financial institutions to small startups. Unlike many competitors, Databento operates on a pay-as-you-go model, which helps users manage costs effectively. The company's goal is to simplify the process of accessing market data, making it more accessible and affordable for all types of businesses in the finance and fintech sectors.

Company Stage

Series A

Total Funding

$64.3M

Headquarters

Boston, Massachusetts

Founded

2019

Growth & Insights
Headcount

6 month growth

3%

1 year growth

3%

2 year growth

31%
Simplify Jobs

Simplify's Take

What believers are saying

  • The recent $31.8 million strategic investment provides Databento with substantial capital to fuel growth and innovation.
  • Offering Nasdaq TotalView-ITCH live data and other proprietary feeds positions Databento as a comprehensive data provider for financial markets.
  • The zero license fee model for US equities bundles can attract a wide range of clients, from web apps to systematic traders, boosting user adoption.

What critics are saying

  • The financial market data sector is highly competitive, with established players like Bloomberg and Refinitiv posing significant challenges.
  • Providing free services, such as the public NTP service, may strain resources and impact profitability if not managed carefully.

What makes Databento unique

  • Databento offers the industry's first US equities bundle with zero license fees, setting it apart from competitors who charge significant fees.
  • The launch of a free public NTP service optimized for algorithmic trading highlights Databento's commitment to addressing specific market needs.
  • Partnerships with technology providers like Napatech for FPGA-based capture processes enhance Databento's data accuracy and reliability.

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