Top Tech Jobs & Startup Jobs in Chicago, IL

This role involves business development, client engagement, and generating new customer contracts in the Strategic Enterprise space, requiring 5+ years of experience selling SaaS products.

The VP of Sales at NeuraFlash leads sales strategy in regulated industries, leveraging Salesforce tools to drive growth and build competitive advantage. Responsibilities include cultivating partnerships, managing the sales team, and enhancing brand recognition.

The Head of Product - Mobile will own the mobile product line, overseeing vision, strategy, team building, and go-to-market execution for financial services apps.

As a DevOps Engineer at Creyos, you will enhance software development and deployment efficiency, automate processes, and monitor system performance while developing best practices in a collaborative environment.

The Senior DevOps Engineer will design and manage application deployments on AWS, automate CI/CD workflows, and administer databases while ensuring quality and efficiency.

The Senior Data Architect will develop and maintain the core data infrastructure for health research, focusing on data pipelines, orchestration, and quality systems. Responsibilities include coding, data modeling, and supporting data ingestion and transformation processes.

The Senior/Principal Product Manager will drive strategy and execution for integrations with accounting systems, managing product lifecycle and collaborating with engineers and customers to enhance financial workflows.

Lead the product vision, strategy, and execution for the Workflows product at Transcend, collaborating with engineering, design, and go-to-market teams. Manage product lifecycle from concept to launch, ensuring alignment with customer needs and regulatory requirements.

The Account Manager will manage approximately 600 accounts, build relationships, implement growth strategies, and advocate for clients' needs in the campground industry.

The Data Scientist II will develop statistical models and algorithms for insurance interventions, improving customer lifetime value and enhancing conversion/retention using machine learning techniques.