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About Prove  Prove is the modern platform for continuous identity authentication and is used by over 1,000 enterprises and 500 financial institutions including 7 of the top 10 U.S. banks. Prove’s cloud solutions and mobile intelligence -driven APIs can be easily orchestrated to increase Approve Rates to over 90%, enabling companies to authenticate customer identities accurately, effortlessly, and privately, while mitigating fraud. Prove’s

The Product Support Analyst is an integral part of the product development team working in a fast-paced environment. Providing support to internal and external customers. You will be solving problems related to our application interfaces inputs, outputs, configuration or implementation. You will be required to research, document and provide solutions to support tickets as well as identifying proactive solutions. You will also own creating and updating data coverage maps and other reports that will be used by the Product development team. These reports will be used to understand coverage, data quality and to identify holes in our products as well as the data of our partners.

About Prove  Prove is the modern platform for continuous identity authentication and is used by over 1,000 enterprises and 500 financial institutions including 7 of the top 10 U.S. banks. Prove’s cloud solutions and mobile intelligence -driven APIs can be easily orchestrated to increase Approve Rates to over 90%, enabling companies to authenticate customer identities accurately, effortlessly, and privately, while mitigating fraud. Prove’s

The Data Engineer will be responsible for building and optimizing our data and data pipeline architecture as well as building automated processes for production jobs. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.