Senior Sales Engineer

Summary

Join People Data Labs (PDL), a leading provider of people and company data, as a Data as a Service (DaaS) Sales Engineer. In this role, you will act as a key technical expert and trusted advisor, helping customers achieve their goals using PDL's data. You will own the data evaluation process for new business opportunities, support technical questions beyond the capabilities of the Customer Success Team, and contribute to internal and external thought leadership. This position requires proficiency in Python, SQL, and Big Data, along with experience building successful customer relationships and working with Rest APIs. The ideal candidate will have a proven history of success in a technical sales role and a passion for data. PDL offers a competitive salary, unlimited paid time off, comprehensive benefits, and the ability to work remotely.

Requirements

• Proficient in Python, SQL, and Big Data, with a strong ability to advise customers on tech stack architecture for Big Data and work with Rest APIs, including understanding their backend and inner workings
• Capable of interpreting complex code for less technical team members and customers, and articulating said code and the benefits of its outcome//data
• Proven history in building successful customer relationships, identifying and addressing their needs with effective solutions, and operating with technical autonomy
• Ability to collaborate with diverse technical and non-technical backgrounds across our product, engineering, and revenue teams in addition to our many different types of customers

Responsibilities

• Act as a key technical expert and trusted advisor for the sales team, customers, and partners, with the goal of helping our customers achieve their goals with data
• Be an accessible technical translator for our customers who are buying data for the first time as well as the non-technical business stakeholders for our more sophisticated data buyers
• Own our incredibly important data evaluation process for all new business opportunities in your book of business (new logos and upsells)
• Support technical support questions and needs that are beyond the technical capabilities of our Customer Success Team
• Live and breathe customer feedback to help improve our processes, customer experience, and most importantly, the quality of our data
• Contribute to internal and external thought leadership opportunities, cementing your role as a consultant and advisor to our employees and customers

Preferred Qualifications

• Elasticsearch
• Data stores like Redshift, Azure, Mongo, etc
• Data products
• Linux
• Writing Kibana KQL & ElasticSearch queries
• Writing complex queries
• Cloud experience in AWS
• Logfile exploration tooling (i.e. Kibana, Periscope, Graylog, etc.)

Benefits

• Stock
• Competitive Salaries
• Unlimited paid time off
• Medical, dental, & vision insurance
• Health, fitness, and office stipends
• The permanent ability to work wherever and however you want