Top Tech Jobs & Startup Jobs in Chicago, IL

The Senior Data Modeler designs and maintains data models, supports AI-driven practices, and collaborates on data lifecycle processes. Responsibilities include translating business needs into data structures, ensuring data governance, and supporting analytics and AI use cases.

Design, build, and deploy enterprise-scale AI systems (agents, retrieval/RAG, generative AI) and reusable platforms. Own end-to-end solutions from discovery through production, testing, observability, and mentoring, driving architecture, standards, and cross-team adoption.

Lead design, build, and production deployment of ML and GenAI solutions (LLMs, RAG, multi-agent systems, recommender and RL models). Architect scalable, secure inference and MLOps pipelines, mentor MLEs, collaborate with stakeholders to define roadmaps, and measure model performance and business impact. Implement fine-tuning, retrieval, orchestration, and monitoring for enterprise-grade AI products.

Lead GTM sales strategy by translating product value, segmentation, and analytics into actionable sales plays, prioritization frameworks, and launch plans. Partner cross-functionally with Product Marketing, GTM Analytics, Sales Enablement, and Sales leadership to operationalize, measure, and refine initiatives to drive dealer and revenue growth.

Lead development and deployment of predictive and ML models for credit risk, collections, and operations. Mentor data scientists, promote MLOps and modern tools, present insights to stakeholders, and drive experimentation with techniques such as causal inference and GenAI.

Design, develop, implement, and monitor statistical and machine learning models to support credit risk, collections, servicing, marketing, and forecasting. Build data pipelines, translate business needs into analytical solutions, support model governance, testing, deployment, and ongoing performance monitoring, and communicate results to stakeholders.

The role involves leading paid consumer acquisition strategies, optimizing multi-channel campaigns, managing budgets, and collaborating across teams to achieve aggressive growth goals in consumer marketing.

Lead the Sales Strategy & Analytics function to deliver reporting, KPI tracking, profitability and competitive analysis, and sales technology ownership. Partner cross-functionally to provide executive insights, optimize tools and processes, drive adoption, and develop a high-performing analytics team that improves sales productivity, profitability, and strategic decision-making.

Lead design, automation, and operation of reliable, scalable database platforms. Implement IaC, CI/CD integration, observability, replication/migration strategies, security controls, performance tuning, HA/DR architectures, and developer self-service. Drive incident response, capacity planning, and automation to reduce toil.

Lead development and execution of Sales Readiness strategy and programs to prepare sellers, drive adoption, and improve field performance. Manage a team delivering coaching, enablement content, field engagement, and readiness initiatives. Partner cross-functionally to translate priorities into scalable resources, measure program impact, and continuously improve seller capability and productivity.