Top Tech Jobs & Startup Jobs in Louisville, KY

The Senior Lifecycle Consultant guides clients through the implementation of Jenzabar software, provides training, assesses needs, delivers presentations, and collaborates in a team while traveling as needed.

As a Senior Guidewire Integration Developer, you will design and build integration solutions, configure Guidewire systems, and collaborate with stakeholders to modernize insurance platforms and ensure the seamless flow of data across various systems.

The Senior Systems Engineer will manage Azure virtual desktop infrastructure, ensuring security and performance while collaborating with cross-functional teams and supporting end users.

NoGood seeks growth marketers with expertise in Paid Media, SEO, Lifecycle Marketing, and Community Management to drive client success and engagement.

The Paralegal will support the legal team by managing contracts, assisting with privacy and HR documentation, and providing litigation support.

The Strategic Solutions Engineer will advise enterprise clients on AI integration, create custom demos, and foster customer relationships, ensuring high ROI solutions.

The Head of Quality Assurance will lead Cytel's global QA strategy, enhance the Quality Management System, and drive modernization through digital tools and automation. Responsibilities include managing audits, compliance, and mentoring a high-performing QA team.

Revalize seeks enthusiastic sales professionals for a talent community. The role focuses on selling software solutions in manufacturing, promoting professional growth and collaboration.

The Account Executive will drive sales growth within mid-market and enterprise accounts by managing the full sales cycle, engaging IT and Security leaders, and executing account expansion strategies. Responsibilities include generating pipeline, navigating complex buying processes, and collaborating with solutions engineers while maintaining market awareness.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.