Top Tech Jobs & Startup Jobs in Chicago, IL

The Senior Product Manager will implement product strategy, manage identity graph products, guide product development, oversee performance metrics, ensure data governance, and engage with partners, focusing on both online and offline marketing and advertising.

Manage and grow a strategic Experian client relationship in financial services/technology. Maintain C-level contacts, sell data/analytics/software solutions, develop forecasts and pipeline, collaborate cross-functionally, present proposals, drive revenue growth, and ensure solution delivery. Remote role requiring residence in TX, NY, NJ, PA, or DE and travel.

Lead global revenue operations and commercial systems for Employer Services. Own Salesforce platform and revenue tech stack, standardize quote-to-revenue, govern forecasting and pipeline, align revenue integrity with Finance, and drive transformation, automation, and adoption across cross-functional teams.

Provide payroll tax consulting to clients: manage client projects, analyze payroll data and tax forms, identify refunds and savings, support M&A and audits, engage tax authorities, improve processes, and assist leadership with research and presentations.

Sell Experian data, analytics, software, and fraud/risk solutions to credit unions. Manage named accounts, build executive relationships, identify growth opportunities, forecast pipeline, negotiate contracts, and support solution delivery while traveling up to 50%.

Prospect and qualify enterprise financial services accounts, set meetings for Account Executives, manage pipeline and contact lists, perform multi-channel outreach, maintain product knowledge, and collaborate with sales and marketing to drive growth and learning.

Lead architecture and delivery of high-throughput transactional services and agentic AI workflows. Build production Python and Go microservices on AWS, design observability and CI/CD, resolve distributed-system performance issues, run technical reviews and ADRs, mentor engineers, and contribute to on-call and incident response.

Lead technical vision and architecture for cloud-native platform and agentic AI capabilities on AWS. Define reusable AI/agent patterns, govern DevOps/GitOps, design platform infrastructure (EKS, service mesh, DBs), set SRE/observability standards, conduct architecture reviews, produce ADRs/diagrams/threat models, mentor senior engineers, and advise product teams.

Lead a team that turns advanced analytics and internal data into market-facing thought leadership. Use Python and SQL to analyze data, validate models, and produce executive-ready content (reports, white papers, decks). Support strategic sales with data-driven insights, collaborate with Data Science, monitor industry and regulatory trends, and present findings to senior clients and industry audiences.

Build and maintain scalable Python-based data pipelines and backend services for analytics and ML workflows. Design software systems, support analytics/model training and deployment platforms, implement CI/CD and IaC, manage AWS/on-prem environments, monitor and improve pipeline reliability, and evaluate new AI technologies to increase platform efficiency.