Quantitative Sales Associate

Job Description

The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.

Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms.

Responsibilities

As a Quantitative Sales Associate, you will oversee the full scope of sales at Databento. This includes the following:

• 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.

Desired Qualifications

The ideal candidate has experienced the end-to-end sales pipeline, including top-of-funnel, upselling, channel sales, customer success, and forecasting. Below are other skills that we look for:

• 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.

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We accommodate 100% remote work, with teammates living around the globe and paid in their local currency.

The base salary range for this role is $80,000–$155,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role.

Notice about phishing scams

Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent.

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Databento, Inc. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know.

Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!