Oversee the full scope of sales at Databento, a market data platform for modern finance, in a fully remote environment.
Posted by employer 11 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In the role of Quantitative Sales Associate at Databento, the individual will manage the technical sales process, addressing customer inquiries and providing tailored data solutions. Key skills include familiarity with programming languages like Python, C++, and Rust, as well as a strong understanding of quantitative trading and market dynamics. This position is well-suited for someone with experience in the sales pipeline and a detail-oriented approach, particularly in a startup environment. Databento's team comprises professionals from leading quantitative firms, enhancing the collaborative atmosphere.
Quick facts
- Is the Quantitative Sales Associate role remote?
- Yes — Databento lists this as a fully remote position.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, Python, Rust.
- What seniority level is this role?
- Databento targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Quantitative Sales Associate role at Databento.
From the original posting
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.
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.
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.
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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!
Standard company text repeated across Databento's postings is omitted here.