Top Tech Jobs & Startup Jobs in Madison, WI

The Enrollment Specialist engages with eligible members, guides them through enrollment, and applies sales techniques to achieve goals while providing education on chronic disease management.

The Software Implementation Consultant will manage the implementation of financial software for public sector clients, ensuring successful onboarding, training, and support, while collaborating with internal teams to enhance the client experience.

The FP&A Analyst will manage financial modeling, revenue tracking, reconciliations, and provide performance analysis to support decision-making.

The role involves configuring and optimizing Workfront systems, supporting integration, troubleshooting technical issues, and contributing to solution design, all while ensuring strategies align with business goals.

The Product and Content Marketing Manager will create strategic messaging and content for product positioning, support go-to-market initiatives, and develop sales enablement materials. They will work cross-functionally to ensure consistent communications and support demand generation efforts.

As a Senior Backend Engineer at Eight Sleep, you will develop and maintain back-end services and improve data processing, supporting critical business logic in distributed systems.

Lead and scale a team of Account Executives focused on new logo acquisition, establish pipeline discipline, coach on complex sales, and partner with executive stakeholders to drive business outcomes across financial operations solutions.

Lead the marketing strategy and execution for brand, demand generation, and lead generation initiatives at Predactiv, enhancing market presence, and driving growth through data and technology offerings.

The Product Designer will lead the design process, contribute to product management, and collaborate with cross-functional teams to shape product strategy.

Design, iterate, and productionize ML models for recommendation, ranking, routing, and monetization. Lead A/B testing and causal measurement, build dashboards and analytics, define metrics, collaborate with Product and Engineering, and scale ML/analytics infrastructure and model lifecycle management.