Solutions Engineer - [Pre and/or Post Sales Exp Required]

People Data Labs

2d • $150,000 - $180,000

About The Position

People Data Labs (PDL) is the provider of people and company data. We do the heavy lifting of data collection and standardization so our customers can focus on building and scaling innovative, compliant data solutions. Our sole focus is on building the best data available by integrating thousands of compliantly sourced datasets into a single, developer-friendly source of truth. Leading companies across the world use PDL’s workforce data to enrich recruiting platforms, power AI models, create custom audiences, and more.
We are looking for individuals who can balance extreme ownership with a “one-team, one-dream” mindset. Our customers are trying to solve complex problems, and we only help them achieve their goals as a team.
Data as a Service (DaaS) is not for first-time closers or those without 3+ years of selling experience. Experience with a more technical product or one with a significant API component allows for an easier transition into the data space.
Our SEs deliver exceptional data evaluation experiences to our customers because they truly are the best in the biz. If you love data, get energized working with customers, and aren’t afraid to tell your teammates and customers alike when they aren’t on the right track, this might just be the role for you.
The Opportunity
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

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

Nice To Haves

• Elasticsearch
• Technologies 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.)

Responsibilities

• 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

Benefits

• Great people make great teams. We believe in building highly functional, energetic, and engaging teams to serve our customers. People, Customers, Shareholders, in that order, sets us up for success and delivering on our promises.
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees