Top Tech Jobs & Startup Jobs in Chicago, IL

Full-cycle new business sales role focused on acquiring net-new employer subscribers. Prospect, cold-call (50+ calls/day), email (100+ emails/day), demo the platform, manage trials, build pipeline, develop proposals, and close deals to meet monthly quota. Participate in intensive onboarding and ongoing coaching.

Lead the Machine Learning Ranking team, managing data scientists and ML engineers while driving career development, technical quality, and product outcomes. Partner with Product Management and Decision Science to define roadmaps, metrics, and marketplace experiments. Oversee machine-learning pipeline development, model deployment, and performance monitoring. Provide technical guidance on ML and AI applications, evaluate engineering work, and promote scalable, reproducible practices across the team.

Designs, builds, deploys, and maintains scalable data pipelines, data lake systems, batch and streaming processing, MLOps frameworks, data documentation tooling, and an agentic data exploration platform. The role supports customer-facing products and enables engineering teams through reliable infrastructure, observability, data discovery, and AI capabilities.

Build and operate scalable batch and streaming data pipelines, data lake infrastructure, MLOps frameworks, data documentation systems, and an AI-assisted data exploration tool. The role focuses on reliable data ingestion, large-scale processing, workflow orchestration, observability, and infrastructure supporting customer-facing products and machine learning development.

Leads enterprise sales enablement for Direct Sales, translating product capabilities and market insights into sales plays, launch readiness, messaging, training, content, and customer insights. Partners with Sales, Marketing, Product, Customer Success, and Revenue Operations to improve pipeline conversion, product adoption, account expansion, and sales effectiveness. Measures program impact through adoption, pipeline, penetration, and revenue metrics while building scalable workflows and field feedback loops.

Lead SMB revenue operations strategy and execution, manage and coach a team of analysts, prioritize and deliver cross-functional GTM projects, optimize processes and systems, and rapidly resolve operational issues to enable scalable revenue growth.

Build scalable data processing and exploration pipelines, ML infrastructure, and cloud-based applications. Write, test, instrument, and deploy software in Kubernetes environments while contributing to distributed systems and data-driven products. The role focuses on Python, big data technologies, containerization, and systems supporting marketplace intelligence.

Lead design, development, and productionization of advanced ML models and data pipelines. Drive architecture, experimentation, validation, and best practices while mentoring ML engineers and delivering scalable, business-driving AI solutions.

The role involves building data processing pipelines, deploying cloud technologies, and writing code in a Kubernetes environment, focusing on big data technologies.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.