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Databento

Pay-as-you-go market data platform

Financial Data Sales Associate

Account ExecutiveConfirmed live in the last 24 hours
Full-time

About the Job

Responsibilities

  • Own the technical sales process, from answering technical customer inquiries and providing data samples to solving data-related issues customers raise.
  • Create common examples and use cases with market data using Python, C++, and/or Rust.
  • Gather customer feedback, testimonials, and case studies.
  • Establish and maintain accurate, timely, and documented forecasting and record-keeping procedures, keeping the 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 company objectives and ensure a seamless customer experience.

Desired Qualifications

  • Experience with the end-to-end sales pipeline, including top-of-funnel sales, upselling, channel sales, customer success, and forecasting.
  • Ability to understand and communicate with developers and quantitative analysts.
  • Experience with quantitative trading and market microstructure.
  • Attention to detail and record-keeping, and ability to automate processes in HubSpot.
  • Professional communication aligned with the tone of an institutional financial product.
  • Ability to manage the sales cycle with continual customer buy-in, discover user pain points and signs of friction, be honest when the product is not the best fit, avoid overly pushy sales tactics, and know when to continue or back off.
  • Readiness to work in a startup environment with limited resources and personnel.
  • Active use of GitHub and enough knowledge of C++, Python, and/or Rust to help answer client inquiries.

About the Company

Databento

Pay-as-you-go market data platform

Databento provides a self-service platform that makes market data easy to access by offering instant live exchange feeds and access to terabytes of historical data on a pay-as-you-go basis. Users can get data on demand and only pay for what they use, without long-term contracts. The platform is designed for a wide range of users—from large finance and fintech firms to small startups—who need fast, scalable access to data. How it works: users sign in to the platform, choose the data feeds they need (live or historical), and pay based on usage, enabling on-demand data access via a self-service interface. How it differentiates itself: it combines immediate, on-demand data access with a transparent, usage-based pricing model and a team with extensive experience in high-frequency trading and financial technology, targeting both big institutions and smaller players. Its goal is to simplify and accelerate market-data access, helping customers move faster and reduce data costs.

Company size
51-200
Company stage
Series B
Total funding
$163.1M
Headquarters
Salt Lake City, UT
Founded
2019

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