Top Tech Jobs & Startup Jobs in Chicago, IL

Lead product direction and execution for major areas of an AI Neobank app. Define roadmaps, priorities, metrics; guide PMs, designers and engineers; handle regulatory and operational constraints; drive launch quality and continuous improvement across payments, savings, insurance, investing and travel.

Develop and execute global communications strategy: build media relationships, write and edit press releases and executive communications, shape messaging and product narratives, prepare executives for media, manage launches and crisis communications, and coordinate with product, recruiting, and leadership.

The Senior Machine Learning Engineer will build and own production ML systems, manage end-to-end workflow, debug issues, and mentor others.

The Android Developer will build and maintain AI-integrated Android applications, focusing on UX and system performance while collaborating with backend and ML engineers.

As an Applied AI Engineer, you will build and ship AI features, optimize ML models, ensure production reliability, and collaborate with cross-functional teams.

Design, build and ship native Android features using Kotlin and Jetpack Compose. Integrate REST APIs, improve performance and reliability, debug production issues, and create AI-assisted on-device experiences (TensorFlow Lite). Collaborate with product and design to simplify complex financial user journeys.

Design, build and ship native Android features for an AI-enabled neobank using Kotlin. Improve UX, performance, reliability and integrate backend APIs. Collaborate with product and design to simplify user journeys and use analytics and production data to iterate on mobile experiences.

Run full-cycle recruitment across multiple functions and regions: take briefs, source (LinkedIn, job boards, referrals), screen, interview, manage ATS, build pipelines, close roles quickly, and improve hiring processes and employer brand.

Lead technical design and hands-on execution for complex products and systems. Design scalable architectures, write and review code, solve production issues, make technical trade-offs, mentor engineers, improve engineering practices, and drive initiatives from problem definition through production. Collaborate with product, design, and AI teams while owning system reliability, security, testing, observability, and continuous improvement in a distributed global environment.

Lead a distributed engineering team building and scaling customer-facing products. Own delivery, architecture, reliability, technical quality, production outcomes, engineering standards, and team development. Collaborate across product, design, mobile, backend, and AI teams to turn ambiguous problems into shipped solutions. Coach engineers, manage performance, improve processes and automation, resolve incidents, and build a high-performing culture focused on ownership, speed, and technical excellence.