Top Tech Jobs & Startup Jobs in Chicago, IL

As a Backend Staff Engineer, you will lead technical standards, mentor junior engineers, conduct code reviews, and drive feature development in a fast-growing on-demand services environment.

The fellowship offers hands-on experience in software engineering, focusing on data engineering, cloud-native applications, and Agile workflows with mentorship from experienced professionals.

Own positioning, sales enablement, product marketing, demand generation, content, and measurement. Lead marketing as a team-of-one, working with agencies and cross-functional partners to drive pipeline, adoption, and brand storytelling for enterprise and healthcare buyers.

Manage a portfolio of clients and brokers to ensure delivery and long-term value. Own execution of account plans, coordinate cross-functional deliverables, resolve service issues, drive adoption, retention, upsell, and maintain CRM data hygiene while supporting engagement marketing.

The Managing Director, Marketing Services leads the transformation of AI in marketing workflows and orchestrates cross-channel marketing strategies to enhance client engagement and performance outcomes.

Lead integrated marketing campaigns for MasterClass launches, collaborating with cross-functional teams to drive audience engagement and business impact.

Drive organic visibility and brand presence by identifying high-impact X conversations, crafting timely, engaging replies, and managing engagement across multiple crypto/Web3 accounts. Build relationships within the crypto ecosystem, follow trends and memes, and produce high-quality short-form writing in real time to grow accounts and support founders and brands.

Develop, deploy, and maintain InterSystems IRIS/Cache applications and complex HL7 interfaces (SDA, CCDA, JSON). Implement CQ Initiator/Responder workflows, support IRIS in Kubernetes (IKO), use adapters (SFTP, HL7, HTTP), troubleshoot integrations, and collaborate across teams.

Work directly with customers to design, deploy, and integrate end-to-end AI evaluation pipelines. Curate data, define annotation schemes, set up LLM-based judges, run initial experiments, produce actionable results, and translate technical systems into practical workflows for users.

Lead onboarding, adoption, and support for courier customers; troubleshoot workflows; analyze customer data for churn risks; surface product feedback; identify expansion opportunities; build scalable CS processes and documentation while collaborating with product, sales, and engineering.