Lead and develop engineering teams to build AI-powered data connectivity solutions while fostering a culture of accountability and innovation. Manage execution, delivery, and operational excellence across teams, ensuring alignment with product priorities and technical standards.
The Enterprise Account Executive is responsible for managing the full sales cycle, from prospecting and qualifying high-value enterprise accounts to negotiating and closing deals. They will also collaborate with cross-functional teams to ensure successful onboarding and maintain a robust sales pipeline.
The Director of Product Operations will design and implement an operating model to ensure scalable, predictable delivery across Product, Engineering, and UX teams. They will lead organizational governance, drive delivery transparency, and implement AI-enabled operational workflows to improve overall effectiveness.
The Senior Solutions Engineer acts as a consultative partner to clients, delivering technical demonstrations and managing the technical sales process from discovery to POC. They collaborate with cross-functional teams to integrate client feedback into the product roadmap and support the implementation of CData's AI and data connectivity solutions.
Lead strategic customer engagements to design and deploy production AI architectures using the CData Connect AI platform. Translate field patterns into reusable IP and collaborate with product leadership to shape the evolution of the platform.
Embed with enterprise customers to deploy CData Connect AI and build production-grade AI integrations. You will configure MCP servers, write connection code, and provide field feedback to the product roadmap.
