Top Senior Level Jobs in Lexington, KY

The Senior Account Executive will drive new business growth in the US Public Sector, manage complex sales cycles, develop relationships, and collaborate with partners to close deals.

The Senior Manager of Sales Operations will enhance sales forecasts accuracy, optimize processes, manage sales data, and collaborate with teams to improve efficiency and performance.

As a Principal at ghSMART, you will advise executive clients on talent strategy through data-driven insights, building relationships and driving organizational effectiveness.

Design and develop backend services for an IAM platform, focusing on high performance, scalability, and security. Collaborate with teams to implement new features and maintain existing ones, ensuring compliance with regulations.

Provide day-to-day support for Kinaxis systems, troubleshoot user issues, assist with system maintenance, gather business needs, train end users, and support continuous improvement initiatives.

The Senior Account Executive will manage relationships, convert leads into deals, maintain CRM records, and represent Easy Street Capital's loan programs professionally.

The Senior Product Marketing Manager will craft the go-to-market story, shape product narratives, lead launches, and align sales and marketing teams to enhance product visibility and market impact.

Serve as the first point of contact for new clients, run onboarding meetings, configure Uplinq and QuickBooks Online, clean and prepare client data, manage timelines and deliverables, troubleshoot integrations, recommend scope/pricing adjustments, and transition accounts to ongoing bookkeeping support.

Lead and support mortgage servicing transaction management, system integrations, data validation, and reporting. Partner with business, technology, vendors, and servicing teams to onboard MSR transactions, improve loan boarding processes, validate data integrations, and support investor and client reporting.

Lead end-to-end client ML engagements: scope problems, design, build, and deploy production ML solutions across cloud and containerized stacks. Lead and mentor small teams, manage client relationships, evaluate emerging tools, and ensure models are production-ready and explainable to technical and non-technical stakeholders.