Top Tech Jobs & Startup Jobs in Chicago, IL

The Enterprise Account Executive will drive enterprise sales of the Qualtrics Experience Management platform, engage with Fortune 100/500 clients, and consistently meet sales quotas while managing relationships.

Leads the development and ownership of Cedar’s production machine learning personalization engine. Responsibilities include ML modeling, MLOps, feature pipelines, deployment, inference, monitoring, feedback-loop optimization, compliance and fairness guardrails, technical leadership, code reviews, cross-functional collaboration, and management of ML engineers. The role requires hands-on contributions to scalable ML systems serving millions of healthcare transactions while guiding roadmap execution and model improvement.

Own end-to-end onboarding for high-revenue customers, partnering with Account Executives and internal teams to guide data migration, payments setup, website configuration, team permissions, and product enablement. Serve as the primary customer contact, manage timelines and risks, conduct walkthroughs, resolve technical issues, document progress in CRM tools, and share feedback to improve onboarding processes.

Leads enterprise sales and strategic customer relationships for RigUp’s downstream energy solutions. Responsibilities include prospecting, pipeline management, proposals, negotiations, onboarding, account growth, market development, and cross-functional coordination with Operations, Product, Marketing, and Leadership. The role requires deep downstream oil and gas expertise, C-suite relationship development, complex RFP ownership, frequent client travel, AI-enabled sales workflows, and mentorship of account team members.

Leads Learning, Content, and Quality teams within Shared Services. Owns the strategic vision, operating models, onboarding curriculum, train-the-trainer programs, knowledge bases, quality processes, performance metrics, and AI enablement strategy. The role develops high-performing teams, reduces frontline ramp time and turnover, creates closed-loop feedback systems, and aligns training outcomes with operational KPIs while scaling support operations.

Drives revenue growth by prospecting for new compliance customers, expanding existing accounts, and selling Skillsoft’s legal, ethics, safety, and OSHA compliance solutions. Responsibilities include outbound prospecting, pipeline development, consultative solution selling, executive engagement, cross-functional collaboration, upselling, negotiation, presentations, and deal closure. The role requires managing whitespace opportunities, reporting pipeline health, and consistently exceeding sales targets in a remote, matrixed environment.

Build and lead GC AI’s revenue operations function from the ground up. Develop go-to-market processes, hire and manage a high-performing team, select and implement operational technology, align Sales, Marketing, Product, Customer Success, and Partnerships, and optimize pipeline, forecasting, retention, deal velocity, win rates, and revenue performance through data-driven KPIs.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

Own client implementation projects from contract signing through go-live. Build and maintain project plans, track risks and blockers, coordinate internal and client stakeholders, manage communication and expectations, secure required documents and approvals, escalate delays, and improve implementation processes. Serve as the client’s primary point of contact while coordinating technical and account teams without owning technical decisions or commercial relationships.

Architects and delivers foundational systems for an autonomous security investigation platform supporting MDR. Responsibilities include distributed data pipelines, query engines, orchestration, ML model infrastructure, scalability, reliability, observability, technical standards, design reviews, mentorship, and cross-team architecture. The role partners with ML, product, data science, and platform teams to solve complex technical problems across real-time security operations.