People Data Labs

Customer Support

• Act as first line support for customer issues and questions, escalating to our Solutions Engineers when appropriate
• Own our customer support tools, docs, and processes, finding new ways to make your and your teammates' jobs easier with automation and AI
• Provide end-to-end support for PDL’s “self-service” customers, often consisting of simple inquiries, billing questions, and account administration
• Act as first line triage and support for PDL’s “Enterprise” customers, often consisting of support with SQL queries, API troubleshooting, and investigating data issues
• Own our Zendesk instance and help us find new, innovative ways to provide faster support
• Provide feedback to our Product team to ensure issues flagged by customers end up on their radar
• Ensure our support documentation stays up to date, helping our customers solve issues independently as often as possible

Customer Support Specialist

Solutions Engineer

• Act as a key technical expert and trusted advisor for the sales team, customers, and partners
• Be an accessible technical translator for customers buying data for the first time
• Own the data evaluation process for all new business opportunities in your book of business
• Support technical support questions and needs beyond the capabilities of the Customer Success Team
• Live and breathe customer feedback to help improve processes and the quality of data
• Contribute to internal and external thought leadership opportunities

Solutions Engineer – Pre and/or Post Sales Exp Required

Data Engineer

• Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks
• Building an organic entity resolution framework capable of correctly merging hundreds of billions of individual entities into a number of clean, consumable datasets.
• Developing CI/CD pipelines and anomaly detection systems capable of continuously improving the quality of data we're pushing into production.
• Dreaming up solutions to largely undefined data engineering and data science problems.