Top Tech Jobs & Startup Jobs in Chicago, IL

Full-cycle technical recruiter partnering with engineering leadership to build pipelines, manage end-to-end hiring, advise on market and compensation, maintain ATS hygiene (Ashby), improve recruiting operations, mentor teammates, and lead strategic sourcing for technical and passive candidates.

The Scaled Customer Success Manager will own and optimize the startup program, focusing on customer journey, activation, retention, and growth using automation and workflows.

The Forward Deployed Engineer will onboard customers, integrate OpenRouter into their systems, troubleshoot issues, and drive adoption of AI inference solutions.

As a Developer Product Marketing Lead, you'll manage external communications, strategy for product launches, and content quality. You'll utilize AI for content creation and support executives with messaging across multiple platforms through effective coordination with technical teams.

Lead and build the legal function for an AI infrastructure platform: advise executives and Board, manage enterprise and provider contracts, oversee compliance (privacy, export/sanctions, platform policies), handle corporate governance, financings, M&A, employment issues, and legal operations. Manage outside counsel and hire a lean legal team.

The role entails building relationships with enterprise clients, managing long sales cycles, and driving strategic sales in AI infrastructure. Responsibilities include generating leads, managing sales processes, collaborating with teams, and achieving revenue targets, with a focus on technical solutions for large organizations.

The Scaled Support Specialist diagnoses complex technical issues, communicates effectively with developers, and advocates for product improvements while staying current with the LLM ecosystem.

As a Customer Success Manager, you will drive adoption and revenue growth for AI solutions, manage Enterprise accounts, and ensure customer success through strategic execution and relationship management.

Manage model launches and provider onboarding in an AI marketplace, focusing on integration, QA, and internal tooling improvements.

The role involves building user-facing features, collaborating with product and design teams, and ensuring high-quality product delivery while optimizing performance across systems.