Top Tech Jobs & Startup Jobs in Chicago, IL

Leads product strategy and growth for Promotional Financing and Product Swaps partner-facing products. Owns product vision, customer experience, technical operations, partner integrations, and core capability improvements. Serves as Product Owner for a hybrid internal and external engineering team, translating business strategy into digital products and coordinating cross-functional execution.

Leads enterprise collaboration product strategy across virtual meeting tools, Salesforce, and an AI prototyping and publishing platform. Owns product vision, roadmaps, platform scalability, and zero-to-one launches while partnering with technology, design, risk, and cybersecurity teams. Builds and develops a high-performing product management organization, drives executive alignment, and delivers intuitive collaboration experiences for over 100,000 associates.

Leads cloud-based software engineering projects and developer teams, building resilient full-stack systems with distributed microservices, APIs, databases, containers, and public cloud technologies. Establishes engineering standards, partners with architects and product managers, improves system performance, reduces technical debt, mentors engineers, and influences long-term technology strategy through emerging tools, automation, observability, and operational excellence.

Build and lead full-stack software engineering initiatives using distributed microservices, cloud platforms, databases, APIs, and modern development frameworks. Provide technical leadership across Agile teams, define architectures and integration patterns, improve system performance, reduce technical debt, establish engineering standards, mentor developers, and influence technology strategy. The role supports regulatory needs and customer-facing financial products at scale.

Design, build, and architect scalable cloud data platforms, pipelines, and applications. Lead large-scale data initiatives, make architectural decisions, evaluate technologies such as Snowflake and Databricks, enforce engineering patterns, and ensure performance and resilience. Collaborate with product, engineering, analytics, and data science teams while mentoring engineers and communicating technical outcomes to stakeholders.

Leads product management for machine learning and AI capabilities, defining customer-focused problem statements, prioritizing infrastructure and model delivery roadmaps, establishing success metrics, and guiding technology design. Partners with data science and engineering teams, facilitates agile delivery, communicates long-term vision, manages risks, recruits talent, and mentors product associates.

Own and prioritize product roadmaps for a card data access platform. Collaborate with technology, design, data science, and business teams to define requirements, acceptance criteria, features, and user stories. Use data and customer research to validate needs, manage risk, and deliver digital products in an agile environment. Communicate product strategy, influence stakeholders, and drive platform improvements that create business and customer value.

Leads the personal loans product decisioning experience, using AI models, experimentation, and targeting to improve acquisition conversion. Partners with fraud, credit, risk, technology, design, marketing, operations, and platform teams to balance customer experience with controls. Defines product strategy, evolves application and offer experiences, integrates enterprise capabilities, and recruits and develops product management talent.

Leads large-scale cloud-native and distributed systems engineering initiatives, guiding multiple technology projects and development teams. Designs and implements resilient, high-performance full-stack solutions using modern programming languages, databases, containers, and cloud platforms. Provides technical leadership on architecture, platform roadmaps, reliability, observability, coding standards, and enterprise technology strategy. Mentors engineers, collaborates with product and architecture leaders, and drives cross-functional technical initiatives.

Leads data science efforts for foundational AI and automation across a global payments network. Partners with data scientists, engineers, and product managers to develop scalable machine learning engines, AI agents, merchant intelligence, and risk solutions. Serves as an NLP and LLM domain expert, fine-tuning and deploying models using PyTorch, AWS, vector databases, and modern AI technologies. Translates complex ML work into business value while mentoring teams and delivering production-scale platforms and solutions.