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 next-generation market data provider — with the radical idea that you should only pay for the data that you use. We power the world’s largest finance and fintech institutions and lower the barrier of entry for small startups, gaining over 4000 users during our first year of launch. Our team consists of former data users from firms like Two Sigma, Belvedere, Pico, Flow Traders, and Tower Research.
We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching and visa sponsorships for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency.
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.
Notice about phishing scams
Be cautious of phishing scams impersonating Databento that may offer a job interview and request that you make a purchase through a phishing link. All official Databento emails come from databento.com or, occasionally, us.greenhouse-mail.io (as Greenhouse.io is our ATS). Any other domains—such as databento-careers.com, databento.online, databento.io, databento.us, etc.—are fake.
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Databento, Inc. provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, Databento complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we will consider for employment qualified applicants with arrest and conviction records. And if you believe that you will need any type of 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!
