Top Tech Jobs & Startup Jobs in Chicago, IL

Design, deploy, and manage machine learning models supporting client acquisition, retention, and reactivation. Develop Next Best Action, CRM, paid media, and personalization solutions using LLMs and traditional ML. Design and interpret experiments, analyze large-scale datasets, communicate recommendations to stakeholders, and collaborate with product, design, and engineering teams on product and infrastructure roadmaps.

Leads GoDaddy’s highest-priority corporate strategy initiatives, addressing growth markets, competitive dynamics, capabilities, resource allocation, partnerships, and M&A. Converts ambiguous executive questions into rigorous analyses, strategic recommendations, business cases, and implementation plans. Advises senior leaders, drives cross-functional initiatives, builds repeatable strategy capabilities, and communicates clear recommendations that produce measurable business outcomes.

Digitize, restore, remediate, and reformat historic analog and digital visual media in a digital studio. Maintain project logs, asset tracking, archival reports, metadata, chain-of-custody records, and secure file delivery procedures. Collaborate with clients and studio teams on technical information exchange, equipment calibration, quality control, troubleshooting, and high-volume project completion.

Design and deliver enterprise-grade Generative AI solutions on AWS using Bedrock and AgentCore. Architect LLM-based applications, RAG pipelines, agentic workflows, vector DB integrations, and APIs. Optimize models for performance, cost, and quality, ensure security and governance, lead teams, and troubleshoot production GenAI systems.

Leads enterprise LifePRO, TPA, digital platform, and AI-enabled transformation programs from planning through deployment, stabilization, and adoption. Oversees architecture, engineering, integrations, data migration, testing, release, and production governance while aligning diverse applications to a unified strategy. Engages executive clients, manages risks and escalations, builds global delivery teams, and drives AI adoption, modernization, operational excellence, and permanent defect reduction across complex insurance ecosystems.

Manages facility-level training and leadership development programs, coordinates change initiatives, oversees project teams, and measures training effectiveness. Develops training materials, schedules required learning, supports Quality, Safety, and Human Resources requirements, and coaches associates and leaders. Builds stakeholder relationships, promotes engagement and cross-functional collaboration, communicates change initiatives, tracks progress, and ensures compliance with company policies and values.

Lead experimentation and decision science initiatives from problem definition through recommendations. Design and analyze A/B tests, quasi-experiments, matched-market tests, and causal inference studies. Apply advanced statistics, regression, predictive modeling, machine learning, and big-data analysis using Python, R, SQL, and PySpark. Partner with stakeholders, communicate actionable findings, build reproducible workflows, and mentor analysts and junior data scientists.

Lead enterprise payer and MSO sales from prospecting through signed agreements. Sell AI value propositions to health plans and value-based care organizations, manage complex 9–18 month procurement cycles, conduct proof-of-performance deployments, and convert pilots into paid engagements. Own territory strategy, pipeline accuracy, executive relationships, and commercial feedback to product and clinical teams.

Build and maintain client-facing dashboards, embedded analytics, and reporting solutions using Power BI and related tools. Translate client needs into metrics, data models, visualizations, and insights. Validate data accuracy, support governance and privacy standards, document solutions, train users, and respond to reporting questions. Collaborate with data engineers, customer success, product, engineering, and business stakeholders while supporting AI-enabled reporting and predictive analytics for life sciences clients.

Provides technical customer support by triaging and resolving issues involving RelationalAI, Snowflake, Azure, databases, and graph technologies. Troubleshoots logs, stack traces, performance problems, environments, and client applications; communicates with technical and executive stakeholders; collaborates with Sales, Field Engineering, Product Management, and Product Engineering; and improves support processes, tools, products, and customer experience.