Cdata Software

Cdata Software

Senior Solutions Engineer

Remote (United States) · Senior

Work authorization requiredDetected 13 days ago
DatabricksProduct ManagementProduct StrategySalesHRCustomer SupportResearchLeadershipCollaborationPublic Speaking

About the role

  • CData is the data layer between AI and ROI-delivering the connectivity, context, and control that make enterprise AI more accurate.
  • Headquartered in Chapel Hill, North Carolina, CData has over 500 team members, with offices in North America, Europe, and Asia.
  • Our Solutions Engineers are problem solvers, working collaboratively across CData to resolve issues in a timely manner.

Responsibilities

  • include but are not limited to: Support sales executives in developing a deep understanding of client requirements.
  • Take ownership of product implementation in client environments and partner with technical support to address issues in a timely manner.
  • In some cases, provide leadership to other Solutions Engineers which may require HR management as well as day-to-day workflow management Own and lead the technical sales activities within the sales process, including technical discovery, demonstration, evaluation, POC, and RFP.
  • Support Sales Executives in developing a deep understanding of client requirements.
  • Develop a clear understanding of the customer's business and technical needs through discovery and research.
  • Deliver compelling and targeted Demos that demonstrate how CData can address the Customer's requirements and deliver the desired future state of the business.
  • Deliver messaging to senior leaders and decision makers, both internal and external, on strategic topics Participate in the design and execution of Sales Enablement initiatives.
  • Develop and maintain in-depth technical knowledge of the CData product portfolio.
  • Develop and maintain in-depth knowledge of the competitive landscape.
  • Lead technical responses to Requests for Information (RFI) and Requests for Proposals (RFP).

Requirements

  • This position requires a deep understanding of CData's product portfolio and the ability to communicate technical concepts to a variety of audiences.

Nice to have

  • Applicants must be US-based and legally authorized to work in the United States without the need for employer sponsorship, now or in the future.

Company info

  • About CData Software, Inc.
  • One platform for live access and data replication across 350+ sources, semantic intelligence that ensures context-aware responses, and built-in governance for every AI-to-data interaction.
  • Powering AI and analytics workloads for Anthropic, Databricks, Microsoft, Google, Palantir, and more than 10,000 customers worldwide.
  • Behind that impact is a global team of passionate problem-solvers, engineers, and innovators who are redefining what's possible in data connectivity.
  • AI is transforming the way enterprises access and act on their data - and CData is at the center of that shift.
  • As the first managed Model Context Protocol (MCP) platform, CData Connect AI enables AI assistants, agents, and automations to connect directly to the business systems enterprises already rely on.
  • As a Senior Solutions Engineer supporting Connect AI, you won't just be demoing software - you'll be helping customers solve one of the most consequential technical challenges they face today: making AI actually work with their data.
  • Your work will directly shape how organizations across industries unlock the value of AI, and your feedback will influence the product roadmap at a pivotal moment in its growth.
  • Deliver technical presentations and product demonstrations to existing and prospective customers.
  • Technical Troubleshooting for customers and prospects as needed.

Visa & Work Authorization

  • Location(s): Research triangle, NC, or East coast (preferred) Eligibility: Applicants must be US-based and legally authorized to work in the United States without the need for employer sponsorship, now or in the future

This listing is sourced directly from Cdata Software's careers page and normalized into a canonical job model.