Customer Operations Engineer - Government

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Today, enterprises and government agencies are spending heavily on a range of data products and stitching them together to get some semblance of a data fabric. These data products require significant integration and customization work; resulting in a final product that lacks flexibility and exposes multiple risk vectors.

We saw a need for a data platform that humanizes access to data, breaks data silos, and transforms companies as they step towards data democratization and gaining business insights in real-time...These are some of the reasons why we founded The Modern Data Company.

The Modern Data Company is hiring a determined, ambitious and driven Customer Operations Engineer (COE) for our Government Team. The COE is responsible for two separate tasks. Pre-sales support and post-sale deployment.

You will work with account executives to present solutions to prospects that address their use cases. You will learn about the use cases in collaboration with the account executive and coordinate with the product team to develop a presentation and demonstration that addresses the customer’s data challenges.

After the sale, you will be deployed with the customer to deploy and train their teams so that they are comfortable using DataOS to solve their use cases in an expeditious manner. You will use your extensive data experience to solve these challenges and then work with the Technical Account Manager (TAM) to address other use cases within the customer’s ecosystem. Overall, you are responsible for the overall success of DataOS deployment for the customer.

You will be working with the customer’s data operations and critical workflows. You’ll gain rare insights and contribute to some of the world’s largest and most important industries and organizations. You are a problem solver at heart and like to solve data problems to see results that really help customers.

Roles and Responsibilities

  • Responsible for the overall success of customer presentations and deployments for presales and post sales
  • Work with account executives and product teams to present the best deployment to solve customer problems
  • Design workflows to deploy DataOS in collaboration with the customer’s data team
  • You are the first responder if anything is not functioning as it should or if the customer wants to address new data challenges
  • Work closely with the Technical Account Manager to grow the account by increasing DataOS utilization
  • Lead training sessions with customer’s data and business teams to ensure that DataOS is meeting the customer needs and used widely to deliver real impact to their operations
  • Represent Modern Data’s full suite of products and services using technical, organizational, and customer knowledge to influence customers and assist them in applying the products/services to their needs, resulting in revenue generation

Requirements and Qualifications

  • US Citizenship required
  • You must have a current, active US Security clearance
  • Extensive engineering background, specializing in Computer Science, Software Engineering and Data Science
  • Eager to solve technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools and popular platforms
  • Experience using large datasets to solve business problems
  • Proficient in SQL and experience with Python, Java, C++, TypeScript/JavaScript, and similar
  • Experience presenting to technical and non-technical audiences
  • Interest in continuously learning and working independently
  • Experience in presenting and implementing enterprise data solutions
  • Willing to travel to customer site and/or be available at odd hours to accommodate customer’s time zone
  • Understand the sales process, with acute listening skills
  • Ability to clearly articulate issues and concerns to management and support

About The Modern Data Company

Founded in 2018, The Modern Data Company began with the realization that enterprise-wide data access has been siloed. Data engineers and database administrators have been the longstanding data gatekeepers who funneled data to analysts and data scientists. We aim to change that by freeing enterprises to make better data-driven decisions by democratizing access to data. When all employees, irrespective of their technical skills or background, can easily explore and analyze enterprise data, then both productivity and market expansion are realized at a faster pace.

Modern Data is proud to be an equal opportunity workplace.


USA, Remote, Government Team

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